{"id":"W2982097665","doi":"10.4095/297295","title":"Hazus-MH 2.1 Canada application and databases: earthquake and flood module","year":2015,"lang":"en","type":"report","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Flood myth; Database; Geography; Computer science; Archaeology","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":[0.0005524642,0.001219668,0.0006750938,0.002515511,0.001143051,0.001538699,0.002847421,0.0006036625,0.03068566],"category_scores_gemma":[0.002948144,0.0007032251,0.0004199016,0.004765852,0.0003586698,0.001240184,0.001242335,0.0007667351,0.02080771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003721293,"about_ca_system_score_gemma":0.01413418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8843312,"about_ca_topic_score_gemma":0.9044377,"domain_scores_codex":[0.9995254,0.0000214423,0.00002353741,0.00007316304,0.0002618723,0.00009448381],"domain_scores_gemma":[0.997923,0.000100146,0.00007124186,0.0002963124,0.00142003,0.0001892851],"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":[0.0004977786,0.00009007518,0.007748437,0.0002903345,0.00008407164,0.00009600312,0.0001942276,0.006928097,0.004301577,0.002900672,0.9354377,0.04143094],"study_design_scores_gemma":[0.0007060772,0.00006662725,0.03382814,0.0001525709,0.0001236256,0.0002027613,0.0004834708,0.08763598,0.03026654,0.003281542,0.8430094,0.0002433004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01038364,0.0001225533,0.01148092,0.0002000531,0.00003732827,0.000285373,0.9256943,0.03749989,0.01429586],"genre_scores_gemma":[0.02757031,0.0002173604,0.03070684,0.00009038799,0.00001771263,0.000262983,0.9267492,0.002860634,0.01152438],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1156688,"threshold_uncertainty_score":0.2327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078953744005821,"score_gpt":0.240052796337374,"score_spread":0.2092632588973158,"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."}}