{"id":"W3083411377","doi":"","title":"A comparison between three automated earthquake detection methods for seismic zones in Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Seismology","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":[0.002294421,0.000906206,0.0007253374,0.004919417,0.00148788,0.002305624,0.001517944,0.0007903227,0.002529555],"category_scores_gemma":[0.007806901,0.0003971076,0.0007722795,0.003430549,0.0004213863,0.0007817359,0.0008588863,0.0003910317,0.0006837858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008088743,"about_ca_system_score_gemma":0.009155229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.87567,"about_ca_topic_score_gemma":0.9168629,"domain_scores_codex":[0.9982561,0.0002312092,0.0001360985,0.0002914102,0.0008444448,0.0002406037],"domain_scores_gemma":[0.9926029,0.002129831,0.0002980915,0.0002460082,0.004467801,0.0002554416],"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":[0.003302496,0.0006674605,0.2554875,0.0007297522,0.00117736,0.0002132752,0.001118104,0.05672637,0.0149996,0.001584622,0.01105406,0.6529394],"study_design_scores_gemma":[0.000389999,0.0004521374,0.515434,0.000133982,0.0008305396,0.0002174053,0.001933454,0.4547752,0.0139436,0.0007085814,0.0109823,0.0001988772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451421,0.001893438,0.0344835,0.0005083089,0.0001594659,0.0002923406,0.005577271,0.001709322,0.0102343],"genre_scores_gemma":[0.9318042,0.0008062193,0.05413932,0.0001419479,0.00004871716,0.0001036064,0.005967164,0.0001553908,0.006833292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12433,"threshold_uncertainty_score":0.2501243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181834236275256,"score_gpt":0.3096813976313441,"score_spread":0.2778630552685915,"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."}}