{"id":"W6894280476","doi":"10.5683/sp3/elttx2","title":"MVSMMP Maps 28-29: Long Period Georgia Basin Amplification Hazard","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Structural basin; Hazard; Hazard analysis; Period (music); Hazard map; Spectral acceleration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752418,0.002175803,0.0009142752,0.002665283,0.0005703584,0.001255287,0.001842062,0.00140696,0.0356054],"category_scores_gemma":[0.001739638,0.0006295081,0.00120599,0.003729852,0.0002866247,0.0009429865,0.001054501,0.0009972194,0.03197225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256149,"about_ca_system_score_gemma":0.001611825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1548112,"about_ca_topic_score_gemma":0.2692931,"domain_scores_codex":[0.9996265,0.0000363675,0.00002573913,0.0001117979,0.0001183983,0.00008112764],"domain_scores_gemma":[0.9993048,0.0001148039,0.00006667675,0.0001581488,0.0002776315,0.00007791979],"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":[0.00005100397,0.00001503063,0.001425715,0.0003331282,0.00003715012,0.00003806968,0.00002687241,0.001079234,0.0001820632,0.0002067572,0.9935548,0.003050235],"study_design_scores_gemma":[0.0001908404,0.00001961897,0.01951805,0.0002743419,0.00005249347,0.0001293822,0.0001172261,0.0031685,0.0007580576,0.001254845,0.9744312,0.00008551383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002713475,0.0000481018,0.00009732505,0.00002696842,0.00001901392,0.000006750732,0.9976961,0.00116898,0.0006653632],"genre_scores_gemma":[0.0009422288,0.00004083747,0.0004056042,0.0000205591,0.00000620826,0.00002687059,0.9979383,0.0001584952,0.0004608946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1548112,"threshold_uncertainty_score":0.3078203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035224893025697,"score_gpt":0.2785360582328926,"score_spread":0.2581838093026356,"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."}}