{"id":"W4225424205","doi":"10.1139/cjce-2021-0396","title":"Transparency and efficiency in building code review. The case of Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Building code; Transparency (behavior); Architectural engineering; Context (archaeology); Process (computing); Government (linguistics); Roof; Code (set theory); Engineering; Built environment; Business; Civil engineering; Public administration; Political science; Computer science; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04633381,0.000325699,0.0005508817,0.003893622,0.04589508,0.01338991,0.00329454,0.007216563,0.002770601],"category_scores_gemma":[0.1193196,0.0007628356,0.0005764087,0.008068656,0.02125644,0.005738174,0.006672761,0.004823186,0.000286389],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2037122,"about_ca_system_score_gemma":0.33692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9763238,"about_ca_topic_score_gemma":0.9846614,"domain_scores_codex":[0.9236298,0.02937395,0.003290589,0.00378039,0.02417305,0.01575225],"domain_scores_gemma":[0.7935019,0.1138919,0.0180824,0.008479195,0.05305145,0.01299325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00020127,0.0001288675,0.04710942,0.0007436608,0.00008854005,0.01546676,0.5105789,0.00441723,0.002168355,0.2605051,0.04523395,0.1133578],"study_design_scores_gemma":[0.000123862,0.0001209075,0.06957541,0.0009720001,0.0001103458,0.002075779,0.292562,0.003919225,0.001436214,0.02859859,0.6001395,0.0003660797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5448627,0.009250295,0.01125742,0.1696563,0.0004780899,0.0009886895,0.0003610082,0.0001985016,0.2629469],"genre_scores_gemma":[0.9783176,0.0010563,0.002518073,0.003709745,0.00005731596,0.00009531063,0.00005455937,0.00003822285,0.01415281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2037122,"threshold_uncertainty_score":0.9235809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009488232912009193,"score_gpt":0.2133150149384656,"score_spread":0.2038267820264564,"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."}}