{"id":"W3014410575","doi":"","title":"Shear Wave Splitting Underneath Northwest Canada and Eastern Alaska from Transportable Array and Mackenzie Mountains Data","year":2017,"lang":"en","type":"article","venue":"AGUFM","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Shear (geology); Seismology; Oceanography; Meteorology; Geography; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452784,0.0001171947,0.0001417131,0.00001875063,0.0004231248,0.0001749099,0.0003173454,0.00003879713,0.0001946439],"category_scores_gemma":[0.00002118289,0.0001013274,0.00001022369,0.00001803979,0.0001194313,0.0004348399,0.00002964117,0.0001120888,0.000005807172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004952253,"about_ca_system_score_gemma":0.00010129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992338,"about_ca_topic_score_gemma":0.9286603,"domain_scores_codex":[0.9991342,0.00001616384,0.0001269363,0.0003463166,0.0001554809,0.0002208691],"domain_scores_gemma":[0.9991398,0.00005628797,0.00007774972,0.0005800996,0.00001337461,0.0001326495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000730737,0.00000259696,0.967204,0.000009484682,0.00001344455,0.00003900228,0.0001252945,0.000006292284,0.0000114026,0.000003454928,0.001268581,0.0313091],"study_design_scores_gemma":[0.0002850817,0.00002984812,0.9165003,0.00005745106,0.00003395425,0.00001779386,0.0004429384,0.03890481,0.0004720702,0.0003772101,0.04263403,0.000244525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947738,0.0004544592,0.0001449508,0.0008688277,0.0001567335,0.00006902259,0.001262175,0.00003662625,0.00223339],"genre_scores_gemma":[0.9963367,0.0001634619,0.001210555,0.0009714374,0.00007776629,2.249133e-7,0.0009099492,0.000004254714,0.0003256518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06367772,"threshold_uncertainty_score":0.4132011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404080408502654,"score_gpt":0.2210211140935462,"score_spread":0.1869803100085197,"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."}}