{"id":"W6928981576","doi":"10.4224/40001931","title":"Level 2: Semi-Quantitative Seismic Risk Screening Tool (SQST) for Existing Buildings. Part 1: user's guide","year":2020,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"University of Ottawa","keywords":"Seismic risk; Component (thermodynamics); Ranking (information retrieval); Occupancy; Earthquake scenario; Risk assessment; Class (philosophy); Prioritization","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005535977,0.001628322,0.002436796,0.0005942316,0.0009199283,0.0004446185,0.001321254,0.00100323,0.000460751],"category_scores_gemma":[0.02850863,0.001773728,0.001180046,0.001053303,0.0003112427,0.0005257729,0.0007916213,0.002312356,0.001350681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653024,"about_ca_system_score_gemma":0.003122556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006780751,"about_ca_topic_score_gemma":0.0001045932,"domain_scores_codex":[0.9895893,0.0004294017,0.002616508,0.002603792,0.002894501,0.001866454],"domain_scores_gemma":[0.9894503,0.001999873,0.004035476,0.001314277,0.002678289,0.0005218389],"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":[0.0003227543,0.00007132637,0.001764309,0.0009729369,0.001593279,0.0001608444,0.0006950496,0.001229366,0.00615195,0.0009086572,0.9704852,0.01564439],"study_design_scores_gemma":[0.001326894,0.000287557,0.0004274138,0.002463859,0.001416485,0.0001373564,0.0004994378,0.01821172,0.002052356,0.001546241,0.9695805,0.002050193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004314105,0.001335444,0.535068,0.0004613514,0.003430896,0.006211192,0.04748734,0.00282374,0.3988679],"genre_scores_gemma":[0.01309992,0.0009905931,0.9117013,0.0004823462,0.00623652,0.001495408,0.005201419,0.002905537,0.05788694],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3766333,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2098964142996443,"score_gpt":0.377225930170948,"score_spread":0.1673295158713037,"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."}}