{"id":"W4386663918","doi":"10.4095/328951","title":"Développement d'un système d'alerte précoce pour les tremblements de terre du Québec","year":2021,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismometer; Seismology; Epicenter; Warning system; General partnership; Earthquake warning system; Geography; Geology; Business; Telecommunications; Engineering; Finance","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":[0.00181629,0.0009602582,0.0006197569,0.001442962,0.001051784,0.002470783,0.001121337,0.0007962161,0.007718144],"category_scores_gemma":[0.003470864,0.000460631,0.0004484921,0.0006751572,0.0004586212,0.001251463,0.0006332733,0.0009192107,0.002733659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007305592,"about_ca_system_score_gemma":0.01714772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8779865,"about_ca_topic_score_gemma":0.771286,"domain_scores_codex":[0.9988323,0.0001212443,0.00005564037,0.0002359506,0.0005768678,0.0001780426],"domain_scores_gemma":[0.9972336,0.0003003746,0.00007589084,0.0001699788,0.001929691,0.0002905486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00110916,0.0006763733,0.03786122,0.0005703793,0.0001803498,0.0009306645,0.001822452,0.03685105,0.06558699,0.008936075,0.1329262,0.7125491],"study_design_scores_gemma":[0.000644004,0.0005487464,0.05039143,0.0002265499,0.0001386169,0.0002810466,0.0006708977,0.5016196,0.06394118,0.001058373,0.3802064,0.0002731906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2292633,0.001685716,0.5210333,0.004242103,0.0006754742,0.005650829,0.02579045,0.1502664,0.06139248],"genre_scores_gemma":[0.435247,0.001071128,0.4118668,0.0009157048,0.000131575,0.001770467,0.0431512,0.002537858,0.1033082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1220135,"threshold_uncertainty_score":0.2454641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661642903845042,"score_gpt":0.2785648428645384,"score_spread":0.2319484138260879,"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."}}