{"id":"W4290960230","doi":"10.55461/rdwc6463","title":"Data Resources for NGA-Subduction Project","year":2020,"lang":"en","type":"paratext","venue":"PEER","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subduction; Metadata; Geology; Seismology; Tectonics; Seismic hazard; Database; Data file; Computer science; World Wide Web","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":[0.00680502,0.001409372,0.001135823,0.006473731,0.001394438,0.005150177,0.004851953,0.001374403,0.1500159],"category_scores_gemma":[0.02267952,0.0009229928,0.0009978138,0.0123542,0.0006224384,0.004575434,0.004849285,0.002293264,0.1587874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242112,"about_ca_system_score_gemma":0.006900521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02319688,"about_ca_topic_score_gemma":0.01190505,"domain_scores_codex":[0.9950128,0.0008497197,0.0008357535,0.0008074504,0.002162188,0.0003319997],"domain_scores_gemma":[0.9850043,0.002384156,0.0007224697,0.004823314,0.005984625,0.001081062],"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":[0.000271887,0.00007501111,0.001641191,0.0004950658,0.00003015535,0.00008250617,0.0001850773,0.0008893127,0.0007708557,0.006206163,0.9484411,0.04091163],"study_design_scores_gemma":[0.0001034782,0.00001855782,0.001353061,0.0001580747,0.00001414188,0.00005129621,0.0001417694,0.00127628,0.001146164,0.004188757,0.9915168,0.00003174377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008318516,0.0001723502,0.008756647,0.0008237538,0.0001762902,0.000484183,0.9375573,0.01676338,0.03443433],"genre_scores_gemma":[0.002225551,0.0001431167,0.01299873,0.0001868755,0.00002392489,0.000701142,0.9754552,0.002939793,0.00532574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1500159,"threshold_uncertainty_score":0.501853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.094698048388532,"score_gpt":0.302342812132993,"score_spread":0.2076447637444609,"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."}}