{"id":"W2906170149","doi":"10.1016/j.jsg.2018.12.007","title":"Interpreting regional 3D fault networks from integrated geological and geophysical data sets: An example from the Guichon Creek batholith, British Columbia","year":2018,"lang":"en","type":"article","venue":"Journal of Structural Geology","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; Geological Survey of Canada; McMaster University; University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Batholith; Geology; Magnetic anomaly; Fault (geology); Geophysics; Magnetic susceptibility; Seismology; Lineament; Anomaly (physics); Magnetic field; Tectonics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000476793,0.0001734668,0.0005204156,0.0000189962,0.0003676256,0.0003826472,0.001001817,0.0002199836,0.003250968],"category_scores_gemma":[0.0004007773,0.0001345929,0.00007618906,0.0002245058,0.0009029352,0.0004303382,0.0001688443,0.0009035724,0.00001042573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005689646,"about_ca_system_score_gemma":0.00005167449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5045155,"about_ca_topic_score_gemma":0.2357264,"domain_scores_codex":[0.9974198,0.0007751515,0.0005630545,0.0004971896,0.0002818959,0.0004629492],"domain_scores_gemma":[0.9970398,0.001737802,0.0003681953,0.0003654255,0.0002218834,0.0002669225],"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":[0.0003555367,0.00002128468,0.422733,0.000001547524,0.0001132804,0.0001191467,0.0002918992,0.000216707,0.00005599269,0.000008106241,0.004702166,0.5713814],"study_design_scores_gemma":[0.0004215899,0.0008269597,0.8571156,0.000023981,0.00005228248,0.0003890611,0.0001703164,0.1131738,0.000001157259,0.02504648,0.002616686,0.0001620802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965478,0.0007082316,0.001289483,0.0004713073,0.0006687193,0.00008585364,0.000150081,0.00001845396,0.00006009982],"genre_scores_gemma":[0.980971,0.00005386361,0.01505035,0.001453732,0.00197957,3.02651e-7,0.0004379878,0.000004785579,0.00004837878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5712193,"threshold_uncertainty_score":0.9976602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987509729200993,"score_gpt":0.2634727830128645,"score_spread":0.2235976857208546,"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."}}