{"id":"W4401667343","doi":"10.1002/prs.12640","title":"Improving Process Hazard Analysis (PHA) outcomes to better manage critical controls in mining industry: From <scp>PHA</scp> to verification in the field","year":2024,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Process (computing); Coaching; Facilitation; Hazard; Quality (philosophy); Business; Quality assurance; Process management; Petroleum industry; Process safety management; Risk analysis (engineering); Operations management; Engineering; Computer science; Marketing; Waste management; Management; Hazardous waste","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03364005,0.0008083732,0.00048125,0.003274269,0.001974169,0.003658176,0.001331246,0.0007695679,0.006142378],"category_scores_gemma":[0.03420435,0.000371103,0.0004363493,0.001226797,0.001519735,0.002894098,0.003813863,0.001848484,0.0009300417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003996729,"about_ca_system_score_gemma":0.01292443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004169005,"about_ca_topic_score_gemma":0.005270531,"domain_scores_codex":[0.9775227,0.01137407,0.001089996,0.001046631,0.007915357,0.001051154],"domain_scores_gemma":[0.9316113,0.02941065,0.008937993,0.005266174,0.02256294,0.002211035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004619347,0.001777889,0.04388719,0.001350591,0.00005274647,0.000211867,0.004596126,0.01356798,0.02332969,0.01232359,0.009072613,0.8893677],"study_design_scores_gemma":[0.0007913684,0.01136397,0.2368496,0.004700745,0.0002535938,0.0009128004,0.02210416,0.1351863,0.3415865,0.06641337,0.1792006,0.0006370478],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3396364,0.001343069,0.5744141,0.0116726,0.00031163,0.006083005,0.0002925395,0.003575963,0.06267067],"genre_scores_gemma":[0.8173316,0.0004289459,0.1747921,0.0004568026,0.00008164356,0.0006591477,0.0001862024,0.0001305768,0.005932936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03364005,"threshold_uncertainty_score":0.1779076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817076706842178,"score_gpt":0.4070346888528383,"score_spread":0.3688639217844165,"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."}}