{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008344966,0.000384648,0.000564375,0.0002091609,0.0007341239,0.0001115823,0.001054464,0.000276423,0.00007207665],"category_scores_gemma":[0.0001042187,0.000344142,0.0001027468,0.0001482891,0.0000631264,0.0005293599,0.001293433,0.0006191333,0.00001066781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560535,"about_ca_system_score_gemma":0.003467439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2415164,"about_ca_topic_score_gemma":0.5106868,"domain_scores_codex":[0.997251,0.00006554167,0.0003767434,0.001340712,0.0005742925,0.0003916936],"domain_scores_gemma":[0.997812,0.0003785134,0.0002502478,0.001312931,0.0001358884,0.0001103681],"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":[0.0002767025,0.0001069543,0.002394083,0.0001837954,0.001086193,0.00006268086,0.002914972,0.01940905,2.596482e-7,0.005819929,0.9199379,0.04780744],"study_design_scores_gemma":[0.0006776815,0.001679351,0.005723478,0.00007948359,0.0001843533,0.0002513771,0.0001004203,0.07506034,0.000009395759,0.01754188,0.8981194,0.0005728806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00182968,0.001715093,0.874725,0.002429244,0.006921653,0.001705025,0.0001133956,0.0004477024,0.1101132],"genre_scores_gemma":[0.1066275,0.01032992,0.05341535,0.008437316,0.006290687,0.0008130954,0.003119516,0.0003188743,0.8106478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8213096,"threshold_uncertainty_score":0.9999011,"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."}}