{"id":"W2520282094","doi":"10.1111/gfl.12188","title":"The biases and trends in fault zone hydrogeology conceptual models: global compilation and categorical data analysis","year":2016,"lang":"en","type":"article","venue":"Geofluids","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McGill University","funders":"Japan Atomic Energy Agency; Fonds de recherche du Québec – Nature et technologies; U.S. Geological Survey","keywords":"Electrical conduit; Geology; Lithology; Hydrogeology; Outcrop; Petrology; Fault (geology); Borehole; Sedimentary rock; Permeability (electromagnetism); Categorical variable; Seismology; Geochemistry; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002721889,0.00009180742,0.0001830606,0.0000690142,0.000177347,0.00002779326,0.0001387899,0.00004813911,0.0001628893],"category_scores_gemma":[0.00005482666,0.00004789278,0.00002052401,0.0004251561,0.0004218452,0.0001816747,0.00006986653,0.00004303,0.00001031781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003153336,"about_ca_system_score_gemma":0.00001096966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442614,"about_ca_topic_score_gemma":0.04263776,"domain_scores_codex":[0.9991024,0.00008054338,0.0001672114,0.0002897606,0.000118537,0.0002415734],"domain_scores_gemma":[0.9992179,0.0004413066,0.00002977343,0.0002400733,0.00001500415,0.0000559279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002263441,0.000004500009,0.7304485,5.207699e-7,0.00007974424,0.000005794741,0.00008880715,0.0002152887,0.000001304082,0.001253437,0.0002970379,0.2675824],"study_design_scores_gemma":[0.0003513347,0.00006530456,0.9435651,0.000002427569,0.00007303228,0.00001121962,0.0001804695,0.05215893,0.000001729028,0.001706401,0.001798288,0.00008576078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844511,0.01064539,0.001044409,0.001458235,0.00005753058,0.00004041942,0.0004984873,0.00002056121,0.001783841],"genre_scores_gemma":[0.9978726,0.001670987,0.00005448511,0.00005854899,0.00003064023,6.114826e-7,0.0002021434,8.771828e-7,0.0001091326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2674966,"threshold_uncertainty_score":0.9748316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07192914647151451,"score_gpt":0.2738672665460626,"score_spread":0.2019381200745481,"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."}}