{"id":"W2586978777","doi":"","title":"Comparing Biases of Fault Zone Permeability Magnitudes and Inferred Conceptual Models - Global Multidisciplinary Compilation and Mapping","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Multidisciplinary approach; Geology; Computer science; Political science","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":[0.003113291,0.0003818377,0.0002532882,0.001802663,0.0002671265,0.0010944,0.0005593656,0.0004434946,0.00106072],"category_scores_gemma":[0.01322302,0.000250166,0.0004364453,0.00176385,0.0003928259,0.001530564,0.001344056,0.0003123248,0.0004088076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701323,"about_ca_system_score_gemma":0.0005703804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921708,"about_ca_topic_score_gemma":0.02634208,"domain_scores_codex":[0.9989464,0.0003902649,0.00007471195,0.0003604509,0.0001544166,0.0000738368],"domain_scores_gemma":[0.9906329,0.004479458,0.001341207,0.002043505,0.001308547,0.0001943972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005156196,0.0001700803,0.8466112,0.000185573,0.0006416384,0.0001104743,0.002699951,0.04079342,0.008960502,0.002959282,0.00597495,0.09037734],"study_design_scores_gemma":[0.00006632497,0.00005896844,0.9479528,0.0001016124,0.0002883829,0.0001016078,0.001357457,0.03603851,0.006607081,0.00175141,0.005629062,0.0000467979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868933,0.00008179212,0.005556565,0.0001391878,0.00001516096,0.00001347463,0.004094955,0.0002715324,0.002933966],"genre_scores_gemma":[0.9871546,0.00007736332,0.005194047,0.00004303618,0.000009996487,0.00002099874,0.007014016,0.0001084376,0.0003775683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01921708,"threshold_uncertainty_score":0.03821045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234947640636577,"score_gpt":0.2899283942968333,"score_spread":0.1664336302331756,"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."}}