{"id":"W3030280736","doi":"10.3138/cpp.2018-065","title":"Who to Inspect? Using Employee Complaint Data to Inform Workplace Inspections in Ontario","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Centennial College; Toronto Metropolitan University","funders":"","keywords":"Complaint; Christian ministry; Enforcement; Business; Public relations; Accounting; Political science; 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":[0.008365155,0.0001876657,0.0003792432,0.002312476,0.004995546,0.003188546,0.001511536,0.0007580648,0.001397606],"category_scores_gemma":[0.02975704,0.0004118913,0.0002997018,0.007775505,0.002552006,0.001308633,0.001658505,0.00100276,0.0001944385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09710404,"about_ca_system_score_gemma":0.1369123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958621,"about_ca_topic_score_gemma":0.9976909,"domain_scores_codex":[0.9908096,0.00171175,0.0006846603,0.0006926149,0.004419547,0.001681725],"domain_scores_gemma":[0.9528612,0.01086276,0.011301,0.001478337,0.02046903,0.003027772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001684281,0.0001433499,0.8784342,0.0004054914,0.00007163351,0.0004322167,0.05411509,0.0006294443,0.0006857153,0.003315825,0.01527094,0.04632758],"study_design_scores_gemma":[0.00001501592,0.00004882714,0.936798,0.0002130068,0.00003971223,0.00005413539,0.0338776,0.001020858,0.0003606109,0.0003320255,0.02719053,0.00004976102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567592,0.001900695,0.001334631,0.01339161,0.00006020052,0.0001939257,0.00340045,0.00004971787,0.02290956],"genre_scores_gemma":[0.9916421,0.0009044106,0.001081903,0.000939824,0.00001811282,0.0000580348,0.0008515124,0.00001292771,0.004491233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09710404,"threshold_uncertainty_score":0.7045424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.185560309610158,"score_gpt":0.2996914119616924,"score_spread":0.1141311023515344,"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."}}