{"id":"W4388998508","doi":"10.34172/jaehr.1274","title":"Medical Waste Management in Private Hospitals in Tehran","year":2023,"lang":"en","type":"article","venue":"Journal of Advances in Environmental Health Research","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hospital waste; Medical waste; Waste management; Checklist; Municipal solid waste; Medicine; Biomedical waste; Solid waste management; Medical emergency; Health care; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.007687683,0.0001676984,0.0005476209,0.001688499,0.00006336602,0.000009783522,0.0003219483,0.0001037819,0.0001626722],"category_scores_gemma":[0.00008245371,0.0001486607,0.00007344532,0.00111457,0.0002291657,0.0003043715,0.0003773077,0.001373537,0.0001240765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232338,"about_ca_system_score_gemma":0.00009884436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005302972,"about_ca_topic_score_gemma":0.0001496551,"domain_scores_codex":[0.9943027,0.0004751557,0.001357858,0.0003394872,0.002459412,0.001065374],"domain_scores_gemma":[0.9988264,0.0001847293,0.0001766842,0.0002766296,0.000005271474,0.0005302728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006584451,0.001121958,0.3499078,0.001220772,0.0000215106,0.00686507,0.0009888343,0.001308596,0.00006259481,0.0001331864,0.0005103952,0.6372009],"study_design_scores_gemma":[0.006701912,0.002441693,0.9280352,0.002688663,0.000004184707,0.0001167776,0.01415362,0.0007562714,0.0001148272,0.001109242,0.04367741,0.0002002104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788432,0.005728674,0.00001276711,0.01245713,0.0001921652,0.0009989925,0.000003248317,0.000007191857,0.001756695],"genre_scores_gemma":[0.8633524,0.1349733,0.000513943,0.0006602962,0.0001003989,0.00004107689,0.000009228086,0.00002749318,0.000321859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6370007,"threshold_uncertainty_score":0.6075557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292269842638087,"score_gpt":0.4507919439391946,"score_spread":0.3878692455128137,"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."}}