{"id":"W4364374516","doi":"10.18280/ijsdp.180334","title":"Assessing Ecological and Socio-Economic Attributes in Sustainable Management of Solid Medical Waste in Urban Environment","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solid waste management; Environmental planning; Municipal solid waste; Medical waste; Business; Environmental science; Sustainable development; Environmental resource management; Waste management; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001498227,0.0001133052,0.0002867478,0.0005669736,0.00004835817,0.00003363254,0.000112401,0.00007579807,0.0000486826],"category_scores_gemma":[0.00003869619,0.0001025988,0.00002796372,0.00009917261,0.00005506043,0.0002509688,0.0003200884,0.000203803,0.000002458036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153324,"about_ca_system_score_gemma":0.0001433192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002571364,"about_ca_topic_score_gemma":0.000001254868,"domain_scores_codex":[0.9983877,0.0000378411,0.0006503675,0.0001572256,0.0004306181,0.0003362572],"domain_scores_gemma":[0.9995361,0.00008321389,0.0001808853,0.0000434268,0.00003466493,0.0001217233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000486399,0.000392238,0.8719353,0.001395603,0.0005176066,0.06836745,0.01017123,0.005533203,0.00003634487,0.003861515,0.001243275,0.03605984],"study_design_scores_gemma":[0.002501803,0.0001391464,0.7512399,0.0007837298,0.00002019548,0.0001091038,0.2342826,0.0009818976,0.0001483864,0.0003851263,0.009265914,0.0001422075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965992,0.0004308711,0.00009941259,0.002008775,0.00007258554,0.0001841561,7.087608e-7,0.000004719214,0.0005995664],"genre_scores_gemma":[0.9970142,0.0009018761,0.0006563889,0.0001088817,0.00005866935,0.000009408793,0.00001508793,0.000008253711,0.001227246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2241114,"threshold_uncertainty_score":0.4183859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795114301069943,"score_gpt":0.3126113623877929,"score_spread":0.2846602193770934,"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."}}