{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001615693,0.0001704966,0.0003193738,0.0002991183,0.0002482161,0.00004514417,0.001021837,0.000173601,0.0000104267],"category_scores_gemma":[0.00007639201,0.0001527156,0.00001809611,0.000630326,0.000148297,0.0002252741,0.00148266,0.0008416384,0.000002703928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473744,"about_ca_system_score_gemma":0.0040351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747128,"about_ca_topic_score_gemma":0.9692032,"domain_scores_codex":[0.9973623,0.0002100566,0.0002890276,0.0007740106,0.0008191726,0.0005454523],"domain_scores_gemma":[0.9982711,0.0002862891,0.00006898761,0.001076239,0.0002164858,0.00008090207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003763501,0.00002373035,0.1650615,0.0000493135,0.0000973334,0.0009032954,0.0001026591,0.0007375019,1.927551e-8,0.0006768345,0.4033881,0.428956],"study_design_scores_gemma":[0.000240295,0.00004655227,0.4579672,0.0001196029,0.000008469833,0.0004580764,0.0001923777,0.08377562,6.651837e-7,0.0003605416,0.4563811,0.0004494355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02977199,0.130607,0.4541622,0.01444325,0.01718043,0.002542763,0.000191396,0.0003209025,0.35078],"genre_scores_gemma":[0.9520608,0.04051686,0.002553688,0.0002496838,0.0004842873,0.00002450837,0.0001896316,0.0000198508,0.00390071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9222888,"threshold_uncertainty_score":0.7158094,"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."}}