{"id":"W2793058122","doi":"10.4095/261744","title":"Data processing and preliminary interpretation of the 2000 Southern Ontario Seismic (SOS) Project","year":2010,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Interpretation (philosophy); Geology; Seismology; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007669499,0.0006283273,0.0003121676,0.003127596,0.001709839,0.001003062,0.0007668764,0.0002709375,0.01494732],"category_scores_gemma":[0.002272138,0.0003193028,0.0002518122,0.005884725,0.0004231859,0.0002482746,0.0007895071,0.0002593602,0.00396389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01288615,"about_ca_system_score_gemma":0.02252978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640539,"about_ca_topic_score_gemma":0.9896505,"domain_scores_codex":[0.9989686,0.00004962326,0.00007294849,0.0001250805,0.0005667424,0.0002169736],"domain_scores_gemma":[0.9973102,0.00004801868,0.0001223714,0.0001696392,0.002141535,0.0002083049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001370366,0.0002093162,0.283868,0.0008468168,0.0000700953,0.001255027,0.01222527,0.004250615,0.02762818,0.004048542,0.3189751,0.3452528],"study_design_scores_gemma":[0.00008855592,0.00007351731,0.5705466,0.0001186301,0.00003207467,0.00007740274,0.003796841,0.002683064,0.002867012,0.0003908944,0.4192734,0.0000519937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3478002,0.0003708109,0.01084023,0.000967766,0.0002477582,0.005770083,0.4733224,0.001279452,0.1594011],"genre_scores_gemma":[0.400998,0.000810071,0.04787805,0.0003658088,0.000108136,0.005472296,0.413098,0.0008106845,0.1304589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03594607,"threshold_uncertainty_score":0.09349597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506517795039064,"score_gpt":0.2670483577157463,"score_spread":0.2119831797653557,"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."}}