Table:
Year

Title

Role

Notes

2005

The Squid and the Whale

Pretty Girl

2006

Pitch

Alex

Short film

2006

The Hottest State

Kim

2007

The Babysitters

Barbara Yates

2007

The Attic

Ava Strauss

2010

Percy Jackson & the Olympians: The Lightning Thief

Annabeth Chase

2010

Bereavement

Allison Miller

2011

Hall Pass

Paige

2013

Texas Chainsaw 3D

Heather Miller

2013

Percy Jackson: Sea of Monsters

Annabeth Chase

2013

Life in Text

Haley Greene

Short film

2014

Burying the Ex

Olivia

2015

San Andreas

Blake Gaines

2015

Faces Without Eyes

Iris

Short film

2016

The Choice

Monica

2016

Baked in Brooklyn

Kate Winston

2017

Baywatch

Summer Quinn

2017

The House

Corsica

2017

The Layover

Kate Jeffries

2018

When We First Met

Avery Martin

2018

Rampage

Scuba Diver

Deleted scene only[27]

2018

We Have Always Lived in the Castle

Constance Blackwood

2018

Nomis

Rachel

TBA

Lost Transmissions

—

Post-production[citation needed]

TBA

Lost Girls and Love Hotels

Margaret

Post-production[30]

TBA

Can You Keep a Secret?

Emma Corrigan[33][34]

Post-production, also executive producer

TBA

We Summon the Darkness

Alexis

Post-production

TBA

1 Night in San Diego

—

Filming

Can you extract the data from these specific rows in the table provided?
row 7,
row 18,
row 13,
row 11,

Output the cell values in a row as JSON in the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cell values of target rows are as follows:
For row 7: {"row_id": "7", "cell_list": ['2009', 'Jonas Brothers: The 3D Concert Experience', 'Girlfriend', '-']}
For row 18: {"row_id": "18", "cell_list": ['2016', 'Baked in Brooklyn', 'Kate Winston', '-']}
For row 13: {"row_id": "13", "cell_list": ['2013', 'Life in Text', 'Haley Greene', 'Short film']}
For row 11: {"row_id": "11", "cell_list": ['2013', 'Texas Chainsaw 3D', 'Heather Miller', '-']}