{"id":"W4220967154","doi":"10.4095/329758","title":"Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario","year":2022,"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":"Residual; Computer science; Normalization (sociology); Workflow; Outlier; Reflection (computer programming); Segmentation; Block (permutation group theory); Deep learning; Data mining; Artificial intelligence; Algorithm; Database","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":[0.0007292781,0.0007884364,0.000387345,0.0009751897,0.0009777802,0.0007656822,0.001692345,0.0005248652,0.003174639],"category_scores_gemma":[0.002592495,0.0005065683,0.0006379854,0.001756887,0.0005152026,0.0004972201,0.0005584698,0.001209912,0.0007593865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01475105,"about_ca_system_score_gemma":0.01247855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982528,"about_ca_topic_score_gemma":0.9916028,"domain_scores_codex":[0.9998181,0.00002360965,0.00000806891,0.00005919027,0.00002906846,0.00006190416],"domain_scores_gemma":[0.9990172,0.0002398237,0.00006581535,0.00006850139,0.000531607,0.00007699718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007798624,0.0002325116,0.2088516,0.0002116901,0.0002979309,0.0004587046,0.000705787,0.6559142,0.003598297,0.006081953,0.0433082,0.07955927],"study_design_scores_gemma":[0.00007926317,0.00003281824,0.0655281,0.00005385212,0.00004633267,0.00003797956,0.0006384129,0.9233389,0.001218305,0.00155706,0.007426888,0.00004215267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491256,0.001008112,0.01458861,0.002222748,0.0001428876,0.0001494114,0.02396829,0.0008128991,0.007981474],"genre_scores_gemma":[0.9555641,0.0005431868,0.007187452,0.00008886625,0.0000326411,0.0000509327,0.02503023,0.0001085753,0.01139396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747197,"threshold_uncertainty_score":0.1070269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374654079918989,"score_gpt":0.3064434799187151,"score_spread":0.1689780719268162,"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."}}