{"id":"W3184158745","doi":"10.1093/mnras/stac172","title":"ExoPlaSim: Extending the Planet Simulator for exoplanets","year":2022,"lang":"en","type":"preprint","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exoplanet; Planet; Computer science; Astrobiology; Terrestrial planet; Stars; Python (programming language); Climate model; Astronomy; Geology; Physics; Climate change","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000761386,0.0008365585,0.0004255449,0.0003917651,0.0003799026,0.0007508841,0.002719931,0.0006271582,0.008441531],"category_scores_gemma":[0.002713862,0.0004810248,0.0009741431,0.0004424637,0.0004866521,0.001523374,0.001997994,0.001476706,0.0012618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006059212,"about_ca_system_score_gemma":0.001156174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185266,"about_ca_topic_score_gemma":0.0109189,"domain_scores_codex":[0.9997596,0.00006130974,0.00001946862,0.00005292493,0.00007407748,0.00003265515],"domain_scores_gemma":[0.9991621,0.0003810405,0.00004522996,0.0001825956,0.0001206724,0.000108407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007660854,0.0003603931,0.0182604,0.0005821058,0.0004013848,0.0003491146,0.0004982732,0.8391563,0.00895991,0.01434954,0.06485015,0.05146638],"study_design_scores_gemma":[0.0001659674,0.00004978642,0.001041982,0.00002105092,0.00002040839,0.00002773454,0.00004687504,0.9693553,0.003318934,0.003054936,0.0228698,0.00002709175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3230078,0.0007141609,0.3517772,0.001461834,0.0008450784,0.0006182449,0.03165331,0.2518193,0.03810311],"genre_scores_gemma":[0.7726938,0.0004316065,0.1684396,0.0006475521,0.00008677749,0.0008284794,0.02508517,0.02392896,0.007858171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01185266,"threshold_uncertainty_score":0.02823973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483937373767119,"score_gpt":0.2319688344954118,"score_spread":0.2171294607577406,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}