{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002421259,0.0003607371,0.0002660169,0.002696121,0.001572333,0.0009710976,0.0005384186,0.0004451081,0.002672465],"category_scores_gemma":[0.0008287091,0.0002381538,0.0003021536,0.004150175,0.0003442375,0.0004239957,0.0005338859,0.0003529219,0.0006647717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906859,"about_ca_system_score_gemma":0.005112907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9152642,"about_ca_topic_score_gemma":0.9670717,"domain_scores_codex":[0.9997969,0.000009151322,0.00001582746,0.00006175626,0.00006335747,0.00005298105],"domain_scores_gemma":[0.9992317,0.00004588693,0.00008386253,0.00006746904,0.0004583068,0.0001126893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004141855,0.0001208099,0.9185802,0.000122738,0.0002625227,0.0007512,0.001467269,0.01140936,0.01086115,0.000547077,0.01306743,0.04239614],"study_design_scores_gemma":[0.00002535421,0.000009976849,0.9880919,0.00003904009,0.00007152694,0.00005841529,0.001198152,0.003159036,0.001007668,0.00009576658,0.006216461,0.00002671538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688812,0.0001858141,0.0003430388,0.0000753399,0.0000193937,0.00001577497,0.02552928,0.00009070963,0.00485943],"genre_scores_gemma":[0.9627902,0.0002072483,0.001670027,0.00003051864,0.00001111518,0.00002221581,0.03275321,0.00004122287,0.002474265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08473575,"threshold_uncertainty_score":0.1704695,"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."}}