{"id":"W6893856423","doi":"10.5281/zenodo.4768595","title":"Exoplanets Over Lunch: Enabling new science with ExoPlaSim, a really fast and easy GCM","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":"","keywords":"Exoplanet; Planet; Planetary habitability; GCM transcription factors; Terrestrial planet; Climate model; Python (programming language); Intuition; Circumstellar habitable zone","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006355479,0.0009903252,0.0006055575,0.0003340789,0.0005701046,0.001234095,0.001726901,0.001011889,0.01167959],"category_scores_gemma":[0.001571896,0.0004594084,0.001240215,0.0004144935,0.0005704481,0.00244146,0.002531905,0.002221545,0.002839067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885771,"about_ca_system_score_gemma":0.0007742735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00818676,"about_ca_topic_score_gemma":0.009117518,"domain_scores_codex":[0.9998171,0.00003767737,0.000005965845,0.0000501295,0.0000564938,0.0000327147],"domain_scores_gemma":[0.9997016,0.00008534287,0.00001284878,0.00007789626,0.00004354928,0.00007875639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001850531,0.0003712639,0.01877792,0.001014807,0.0008643392,0.0006587116,0.001589763,0.3436245,0.0174157,0.04728358,0.4093179,0.157231],"study_design_scores_gemma":[0.0006012796,0.000170102,0.004291391,0.0001703309,0.0001127877,0.0001374984,0.0003308188,0.6292599,0.006748124,0.03331048,0.3247344,0.0001329015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.2227463,0.004970891,0.2959803,0.008563243,0.004370302,0.0004845367,0.04166565,0.2999454,0.1212733],"genre_scores_gemma":[0.54746,0.001846511,0.3555419,0.002454493,0.0005597303,0.0006630033,0.03192136,0.0444398,0.01511319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01167959,"threshold_uncertainty_score":0.0390721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123921330869707,"score_gpt":0.224234970710364,"score_spread":0.2029957574016669,"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."}}