{"id":"W7122433026","doi":"10.6026/973206300214363","title":"Waste management in disease prevention: A public health overview","year":2025,"lang":"en","type":"article","venue":"Bioinformation","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Hazardous waste; Urbanization; Public health; Municipal solid waste; Human health; Safeguard; Health care; Psychological intervention","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":[0.0003379307,0.0000730508,0.0001157584,0.0002535877,0.0000476923,0.00002012557,0.00004306833,0.00002006798,0.00005486969],"category_scores_gemma":[0.000006319823,0.00006835933,0.00004268583,0.0003176359,0.00001071063,0.0002208079,0.00006764517,0.00005207372,0.0001007088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384842,"about_ca_system_score_gemma":0.00007713289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900101,"about_ca_topic_score_gemma":0.00001495713,"domain_scores_codex":[0.9991542,0.00002819035,0.0003514029,0.00009903961,0.0001747777,0.0001924436],"domain_scores_gemma":[0.9995984,0.000003286901,0.00006083502,0.0002039295,0.000007083956,0.0001264924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004272822,0.0001819211,0.003921472,0.002797614,0.00003324231,0.000006445068,0.0002988168,0.00002415725,4.673869e-7,0.01062854,0.003939166,0.9781255],"study_design_scores_gemma":[0.002220135,0.0001491778,0.4594911,0.001056225,0.00003085391,0.000001659164,0.002376079,0.005229326,0.000004779331,0.0004693863,0.5288466,0.0001246762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2507415,0.00976439,0.02824501,0.3167915,0.001173004,0.01152858,0.00002468194,0.0003956857,0.3813356],"genre_scores_gemma":[0.9735857,0.003675862,0.001575504,0.013393,0.00003482657,0.0001623578,0.0003191214,0.00000745331,0.007246186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780008,"threshold_uncertainty_score":0.2787613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06701617881968247,"score_gpt":0.3523523347229893,"score_spread":0.2853361559033068,"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."}}