{"id":"W4406159940","doi":"10.1016/j.resconrec.2024.108116","title":"Uncovering the future environmental burdens of medical waste disposal in China and mitigation pathways","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; Huazhong University of Science and Technology","keywords":"China; Environmental planning; Waste management; Medical waste; Environmental science; Business; Engineering; Geography","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":[0.0008534294,0.0004084998,0.000289655,0.001833783,0.0009870999,0.001400004,0.0004980896,0.0005863903,0.002995939],"category_scores_gemma":[0.0006369113,0.0002328773,0.0006168093,0.00256821,0.0006155079,0.002001543,0.001716695,0.0005640013,0.0001400056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004714998,"about_ca_system_score_gemma":0.009899839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09364074,"about_ca_topic_score_gemma":0.2209617,"domain_scores_codex":[0.9996126,0.00006590396,0.00002724908,0.00004866758,0.00009141555,0.0001541423],"domain_scores_gemma":[0.9995291,0.00005667987,0.0001428491,0.00002205971,0.0001663479,0.00008289753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001505377,0.0001623507,0.8592193,0.0007600149,0.0002451474,0.001722854,0.00577208,0.009268052,0.004814734,0.04020907,0.004827306,0.07284856],"study_design_scores_gemma":[0.00001261239,0.0001010677,0.9229744,0.0003898784,0.0002048235,0.000316501,0.01752774,0.01338935,0.002183039,0.01902449,0.02380014,0.00007584219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797626,0.002295746,0.001738895,0.007230815,0.00003621738,0.0000453781,0.001064019,0.0000182763,0.007808107],"genre_scores_gemma":[0.9935773,0.002428843,0.000949397,0.0003365019,0.00002119108,0.00001956348,0.0004172537,0.000005101229,0.002244837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09364074,"threshold_uncertainty_score":0.1861914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007016287391569617,"score_gpt":0.241730795397018,"score_spread":0.2347145080054484,"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."}}