{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630174,0.000163937,0.0001369373,0.0007759935,0.0004962504,0.0004682158,0.0002958908,0.0002622966,0.0010639],"category_scores_gemma":[0.0009885447,0.0001509331,0.0001752028,0.0009144015,0.0004097721,0.0003673203,0.0005948495,0.0001674679,0.0000634772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294243,"about_ca_system_score_gemma":0.001787548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003944241,"about_ca_topic_score_gemma":0.00746004,"domain_scores_codex":[0.9994419,0.0001300683,0.00005628818,0.00007030221,0.0001575245,0.0001439042],"domain_scores_gemma":[0.9989691,0.0001515095,0.0005923605,0.00003326857,0.0001067682,0.0001469892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001845586,0.0001899966,0.9673488,0.0001988683,0.00003099058,0.001225527,0.003524103,0.0003826821,0.003380875,0.0002771295,0.0004571609,0.02279935],"study_design_scores_gemma":[0.00001761621,0.0004843066,0.9813924,0.0000494844,0.00001931641,0.001579502,0.01264498,0.0003275203,0.0009806957,0.0002433932,0.002248691,0.00001211642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993736,0.0001386459,0.00006995766,0.0001088082,0.000002750381,0.000006640886,0.00005600307,0.000002296765,0.0002414187],"genre_scores_gemma":[0.999369,0.0001554604,0.0001845237,0.00003085375,0.000006156794,0.000005370906,0.00007410915,6.673675e-7,0.0001738042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003944241,"threshold_uncertainty_score":0.009390414,"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."}}