{"id":"W3198046973","doi":"10.4095/328860","title":"Developing a retrofit scheme for Canada's Seismic Risk Model","year":2021,"lang":"en","type":"report","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Retrofitting; Seismic risk; Unreinforced masonry building; Masonry; Induced seismicity; Plan (archaeology); Seismic retrofit; Risk analysis (engineering); Function (biology); Engineering; Process (computing); Civil engineering; Computer science; Construction engineering; Business; Reinforced concrete; Geology","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":[0.001171705,0.0008223284,0.000513911,0.001348919,0.001688427,0.001901332,0.002942901,0.001187791,0.008585712],"category_scores_gemma":[0.003158798,0.0006688375,0.0009641016,0.001283606,0.0005971441,0.000758067,0.001028711,0.001252842,0.000774514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02371938,"about_ca_system_score_gemma":0.03138937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9445527,"about_ca_topic_score_gemma":0.9040917,"domain_scores_codex":[0.9994161,0.0001144905,0.00002214929,0.0000582559,0.0002540692,0.0001349207],"domain_scores_gemma":[0.9988233,0.0002113682,0.00005507725,0.00004934994,0.0007642122,0.00009664616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002212619,0.00001280356,0.001579263,0.00001687743,0.00001224126,0.00005865996,0.00004195115,0.9684714,0.0001487867,0.02043481,0.004177169,0.005023917],"study_design_scores_gemma":[0.00001768302,0.00000635598,0.000477954,0.00001285369,0.000009928492,0.0000152614,0.00004767344,0.988255,0.00009714509,0.002884212,0.008159275,0.00001662952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1649063,0.0007962559,0.5120316,0.00593205,0.0003125364,0.001364666,0.02091173,0.004397789,0.2893471],"genre_scores_gemma":[0.7247474,0.0007239573,0.2220052,0.0003649121,0.00005025321,0.0007307197,0.007152698,0.0006558191,0.043569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05544734,"threshold_uncertainty_score":0.1720969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665781961690145,"score_gpt":0.2626388251369432,"score_spread":0.2259810055200417,"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."}}