{"id":"W2593409082","doi":"","title":"Preliminary tsunami hazard assessment in British Columbia, Canada","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Hazard; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052994,0.00009451946,0.0002158838,0.00002958224,0.0001551289,0.0001945825,0.000502274,0.0000668243,0.000002336937],"category_scores_gemma":[0.0002139788,0.0001504818,0.00002658283,0.00021187,0.00004560595,0.0002204399,0.0003819438,0.0002340117,0.00001165459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937277,"about_ca_system_score_gemma":0.0008906393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769192,"about_ca_topic_score_gemma":0.998368,"domain_scores_codex":[0.9984465,0.0001568179,0.0002630621,0.0003717636,0.0003328006,0.0004290385],"domain_scores_gemma":[0.9992382,0.0001318641,0.00008494448,0.0002901232,0.0001173767,0.0001375004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002243889,0.00003850579,0.8944419,0.00001099216,0.00001702652,0.000424526,0.000489272,0.0003910499,0.000002214101,0.00006823579,0.08910339,0.01501065],"study_design_scores_gemma":[0.0005896066,0.0001451501,0.9670429,0.000109566,0.00000567644,0.00009669874,0.0008522861,0.01140891,0.000003067885,0.0007529596,0.01870149,0.0002917117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819919,0.0009821638,0.001275469,0.001877147,0.001064231,0.0001135914,0.000002917479,0.00008621037,0.0126064],"genre_scores_gemma":[0.9875687,0.0000139542,0.009900144,0.0008658688,0.00007450471,0.00002433324,0.000003148645,0.000008175694,0.001541171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07260098,"threshold_uncertainty_score":0.6136471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780807723961042,"score_gpt":0.2453361163087077,"score_spread":0.2275280390690973,"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."}}