{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004470215,0.0000862953,0.0002783521,0.0001296909,0.0001634476,0.00001314206,0.00009582882,0.0001169095,0.0002684343],"category_scores_gemma":[0.0002010053,0.00008051821,0.00003891588,0.0001157298,0.00004856652,0.0002738597,0.000109793,0.0003180234,0.0006875806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457174,"about_ca_system_score_gemma":0.000903422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639913,"about_ca_topic_score_gemma":0.0002769028,"domain_scores_codex":[0.9986374,0.0001014476,0.0005055441,0.0001828026,0.000136174,0.0004366241],"domain_scores_gemma":[0.998669,0.0008180202,0.0001377568,0.000122394,0.00006141335,0.0001913983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004561259,0.00002991151,0.9902241,0.0002520977,0.000009035693,8.187157e-7,0.0005904957,0.000006486311,0.00001278804,0.001712232,0.0009277116,0.005778165],"study_design_scores_gemma":[0.001149664,0.00008107417,0.9875163,0.00006402404,0.000001692362,2.891275e-7,0.0005365603,0.0004280556,0.000002313692,0.0003772401,0.009759634,0.00008309663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626313,0.0001024418,0.000007381997,0.00168856,0.0001218163,0.0005461553,0.0005806489,0.00001326898,0.03430837],"genre_scores_gemma":[0.9989994,0.00005764698,0.00001376959,0.0002148529,0.00009444817,0.0000118839,0.0001371325,0.00001252136,0.0004583856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03636801,"threshold_uncertainty_score":0.8837686,"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."}}