{"id":"W2982218193","doi":"10.4095/225729","title":"Strong motion seismograph networks, data, and research in Canada","year":2008,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismometer; Motion (physics); Seismology; Geography; Geology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003268209,0.0004776079,0.0003461739,0.006816455,0.00391257,0.00526348,0.001470419,0.0005458291,0.01152266],"category_scores_gemma":[0.01078501,0.0003915124,0.000224294,0.02228768,0.001569686,0.001839399,0.00254676,0.0009918408,0.001708166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08115208,"about_ca_system_score_gemma":0.2272917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962046,"about_ca_topic_score_gemma":0.9957311,"domain_scores_codex":[0.9959149,0.0002390768,0.0001995359,0.0003062746,0.002567303,0.0007729648],"domain_scores_gemma":[0.9765229,0.001439653,0.0008887301,0.0006633414,0.01739338,0.003092014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002834769,0.0001406885,0.110209,0.0008131393,0.00006470742,0.0005607991,0.002670147,0.004457144,0.001902297,0.07007063,0.3131793,0.4956487],"study_design_scores_gemma":[0.00005215713,0.0000544685,0.1845511,0.0006878012,0.0000390912,0.0001686251,0.00480709,0.005709405,0.00111442,0.006140275,0.7965797,0.00009579251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1467037,0.04033972,0.01588022,0.07199552,0.002064877,0.001340618,0.1406562,0.002983822,0.5780354],"genre_scores_gemma":[0.5953798,0.06812264,0.03009375,0.004975296,0.0005943055,0.0005011993,0.08215704,0.0006151265,0.2175609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08115208,"threshold_uncertainty_score":0.5888023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431650693563981,"score_gpt":0.3406501740859662,"score_spread":0.1974851047295681,"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."}}