{"id":"W3130843802","doi":"","title":"RSTT Canada: A revised local- and regional-scale velocity model for improved event location","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Event (particle physics); Geography; Regional science; Computer science; Cartography; Physics","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":[0.0005236229,0.0008101739,0.0006941755,0.001038964,0.001234737,0.001757232,0.003418929,0.0009131986,0.008616322],"category_scores_gemma":[0.002473581,0.000718063,0.0008708826,0.001948283,0.0003709886,0.001325593,0.0008616894,0.001217214,0.003229677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008574574,"about_ca_system_score_gemma":0.02649211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9621522,"about_ca_topic_score_gemma":0.9546394,"domain_scores_codex":[0.9996856,0.00002494934,0.00001775535,0.0000676194,0.0001288675,0.00007525999],"domain_scores_gemma":[0.9989359,0.00006704567,0.00004638116,0.00007102983,0.000798587,0.00008118215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001394728,0.00006014425,0.01167669,0.00006604446,0.0001170332,0.0001076777,0.00009759323,0.878142,0.001407794,0.00771029,0.04456834,0.05590698],"study_design_scores_gemma":[0.00004811149,0.00000810077,0.002761571,0.00001589909,0.00002770367,0.00001907771,0.00003493176,0.9826874,0.0005310394,0.001097046,0.01271899,0.00005008565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1434697,0.0006597662,0.6650567,0.002234714,0.0008977674,0.0005514573,0.1016604,0.02792659,0.05754294],"genre_scores_gemma":[0.6260219,0.0006895438,0.279067,0.0003176225,0.00009320823,0.0004209761,0.04299563,0.003338318,0.04705571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03784776,"threshold_uncertainty_score":0.07614124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455288357180052,"score_gpt":0.2117705473870288,"score_spread":0.1972176638152283,"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."}}