{"id":"W7117259346","doi":"10.1021/acs.chas.5c00189","title":"Enhancing Management of Time-Sensitive Chemicals in Higher Education: A Proactive Approach to Safety and Risk Reduction","year":2025,"lang":"en","type":"article","venue":"ACS Chemical Health & Safety","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hazardous waste; Scope (computer science); Process safety management; Key (lock); Hazard; Psychological intervention; Risk management; Laboratory safety; Hazard analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005938577,0.0003272573,0.0006702892,0.0001477438,0.00009534467,0.00001094868,0.0002301202,0.0002124608,0.00005497039],"category_scores_gemma":[0.00006447347,0.0003211352,0.00009049123,0.0009791657,0.00009906258,0.0001031117,0.0003823703,0.0005518487,0.00001783422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009438513,"about_ca_system_score_gemma":0.0001082301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002157601,"about_ca_topic_score_gemma":0.000001507985,"domain_scores_codex":[0.9972015,0.00007427789,0.001095081,0.0007780075,0.0002941326,0.0005569939],"domain_scores_gemma":[0.9988223,0.0001739445,0.0002211886,0.0004254597,0.00008808722,0.0002690342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006962943,0.004218834,0.0002310778,0.008966619,0.001354912,0.000005217909,0.003130603,0.002113816,0.5196173,0.07347047,0.004049806,0.3758784],"study_design_scores_gemma":[0.004401628,0.0001014327,0.007452639,0.003354623,0.0003185894,0.00001237984,0.001644728,0.00210273,0.9477732,0.003322832,0.0282278,0.001287464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4767444,0.00481178,0.04423791,0.0346779,0.001430376,0.01183104,0.0002905408,0.0009551144,0.4250209],"genre_scores_gemma":[0.9647188,0.003861496,0.02345978,0.0008677655,0.0002423536,0.0002580721,0.0002131523,0.00006308756,0.006315465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4879744,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009781062032492282,"score_gpt":0.265408341330275,"score_spread":0.2556272792977827,"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."}}