{"id":"W7161995908","doi":"10.82308/50536","title":"Uncovering Hidden Seismic Risks: Paleoseismic Insights in Québec's Intraplate Seismic Zones","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seismic exploration; Population; Seismic survey; Numerical modeling; Geophysical imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003771482,0.0002532274,0.0002052577,0.003224099,0.001253029,0.001925053,0.00057867,0.0004824389,0.004499294],"category_scores_gemma":[0.002071353,0.0001499084,0.0001491865,0.003857015,0.0009757446,0.0005942658,0.0009049213,0.0005447606,0.0002435415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01077146,"about_ca_system_score_gemma":0.008410846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9757348,"about_ca_topic_score_gemma":0.9904851,"domain_scores_codex":[0.9998287,0.00002059728,0.000006807819,0.00002981555,0.00005788711,0.00005615278],"domain_scores_gemma":[0.9990948,0.0001758503,0.0001361959,0.000051845,0.0004272186,0.0001140319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000135064,0.00003985838,0.8591278,0.0001377212,0.0001331925,0.0007556053,0.009127701,0.01354377,0.002961217,0.01260153,0.004414009,0.09702245],"study_design_scores_gemma":[0.000004261567,0.000008381786,0.967818,0.0001174048,0.00003426665,0.0000853462,0.005332764,0.01444791,0.0002084226,0.001766312,0.01015378,0.00002319894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957669,0.001536253,0.003743842,0.002124765,0.0000151682,0.00004412451,0.004189167,0.00005126487,0.03062641],"genre_scores_gemma":[0.9943215,0.0003827151,0.001008256,0.00006808104,0.000005899319,0.000008760226,0.000812578,0.00001063779,0.003381444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02426517,"threshold_uncertainty_score":0.07815284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639798834735371,"score_gpt":0.2396087070648619,"score_spread":0.2232107187175082,"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."}}