{"id":"W6977883610","doi":"10.7914/sn/qw","title":"Canadian National Earthquake Early Warning Network","year":2021,"lang":"en","type":"dataset","venue":"NSF Seismological Facility for the Advancement of Geoscience (SAGE)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; Earthquake warning system; Early warning system; Earthquake casualty estimation; Earthquake prediction; Urban seismic risk","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":[0.0008111012,0.001819423,0.001390295,0.005276762,0.002726266,0.002155172,0.003679621,0.00131769,0.03998516],"category_scores_gemma":[0.00740205,0.0006661824,0.001009546,0.01453509,0.0004489216,0.0008899858,0.001732029,0.001752704,0.02565653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01229608,"about_ca_system_score_gemma":0.03215858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.962243,"about_ca_topic_score_gemma":0.9802413,"domain_scores_codex":[0.9988567,0.00006890338,0.00009661602,0.0002529502,0.0004218132,0.0003031573],"domain_scores_gemma":[0.9935994,0.0003832364,0.0002724216,0.0004432682,0.004775735,0.0005259271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003976452,0.000007929253,0.00165125,0.0002202546,0.00002481738,0.00001711114,0.000016252,0.000169172,0.00003040591,0.0004395015,0.9952122,0.002171306],"study_design_scores_gemma":[0.0001771386,0.00001226266,0.04082992,0.0006104296,0.0000823852,0.0000582928,0.0002017796,0.001058572,0.0002860207,0.0009238644,0.9556862,0.0000731113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001276294,0.00005320349,0.00002319366,0.0000497321,0.00001244484,0.000009114108,0.9990222,0.00003931732,0.0006631436],"genre_scores_gemma":[0.0006373475,0.0000804422,0.0001322525,0.00003244581,0.000003915349,0.00002838031,0.9982994,0.00001545544,0.0007703517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03998516,"threshold_uncertainty_score":0.1337637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036245171028594,"score_gpt":0.2422954472931076,"score_spread":0.2219329955828216,"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."}}