{"id":"W3155756033","doi":"","title":"Fluids in the Earth’s Crust: From Depth to Surface I","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earth (classical element); Crust; Geology; Astrobiology; Geophysics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001595239,0.0001113209,0.0001234144,0.000007650752,0.00007574214,0.00005995675,0.0004009001,0.00001825727,0.0001056733],"category_scores_gemma":[0.00001734798,0.00008462716,0.00004017765,0.0002650061,0.00001789558,0.00007421237,0.00006290416,0.0001783547,0.0005999199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002594654,"about_ca_system_score_gemma":0.00002761418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469987,"about_ca_topic_score_gemma":0.001044635,"domain_scores_codex":[0.9990762,0.0000835016,0.0001531271,0.0002671584,0.0001848315,0.0002351119],"domain_scores_gemma":[0.9995319,0.0001551225,0.00003188722,0.0001532531,0.00001118469,0.0001167131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001491422,0.00001805215,0.9742938,0.000002521558,0.00001086676,0.00001304827,0.005323819,0.005059551,0.004424792,0.0001896989,0.006602279,0.004046671],"study_design_scores_gemma":[0.0008051067,0.0002751256,0.8297247,0.00008891022,0.00003620429,0.000001025511,0.009243542,0.03040073,0.002004323,0.0003602282,0.126333,0.0007271844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749484,0.00004960259,0.0007441538,0.005265162,0.00007412978,0.0001328573,0.00004572132,0.00002057891,0.01871938],"genre_scores_gemma":[0.9946486,7.618052e-7,0.002517981,0.002295379,0.0003804362,0.000002666225,0.00004710223,0.000006418719,0.0001006529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445691,"threshold_uncertainty_score":0.9918613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161377265157488,"score_gpt":0.2197781469790254,"score_spread":0.2036404204632766,"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."}}