{"id":"W7045271619","doi":"","title":"Analyzing Economic and Social Impacts of NFPA 101 Life Safety Code in Costa Rica","year":2019,"lang":"en","type":"article","venue":"Digital WPI","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Worcester Polytechnic Institute; Canadian Food Inspection Agency","keywords":"Code (set theory); Interview; Fire safety; Code of practice; Compliance (psychology); Economic cost","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009223493,0.0001504324,0.0001363916,0.001131519,0.0007268583,0.001006543,0.0004005739,0.0002511573,0.001330766],"category_scores_gemma":[0.00245545,0.0000855999,0.0001813539,0.001640246,0.000619036,0.0003419735,0.001086476,0.0003008882,0.00009940161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006120785,"about_ca_system_score_gemma":0.002464375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.404279,"about_ca_topic_score_gemma":0.5262079,"domain_scores_codex":[0.9993407,0.0003045842,0.00001968835,0.00004132199,0.0001500797,0.0001435475],"domain_scores_gemma":[0.9987955,0.0003012294,0.0003755236,0.00007738375,0.0003530358,0.00009733051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082773,0.0001820911,0.9582906,0.0001080073,0.00009869237,0.000521119,0.006166453,0.002077918,0.001005796,0.002721236,0.00116006,0.02755979],"study_design_scores_gemma":[0.000002040378,0.0000208652,0.9881288,0.00002618492,0.00001412831,0.00003735695,0.008078909,0.0008991619,0.0001367354,0.0001133254,0.002538694,0.000003816752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941553,0.0001769206,0.00007767396,0.0004057321,0.000001687199,0.0000173065,0.0002151247,0.000002084789,0.004948078],"genre_scores_gemma":[0.998582,0.0002355226,0.00009464901,0.00005442253,0.000002208464,0.00001303797,0.0001080925,0.000001862814,0.0009081303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.404279,"threshold_uncertainty_score":0.8038517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156890135545018,"score_gpt":0.4304770820632819,"score_spread":0.3789081807078317,"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."}}