{"id":"W3134492142","doi":"10.26710/jbsee.v7i1.1564","title":"Hazard Awareness & Practices of Biomedical Waste Management among healthcare Staff in Apex Hospitals: A Case Study in District Faisalabad","year":2021,"lang":"en","type":"article","venue":"Journal of Business and Social Review in Emerging Economies","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Originality; Focus group; Accountability; Health care; Biomedical waste; Quarter (Canadian coin); Medicine; Nursing; Hazard; Operations management; Business; Qualitative research; Engineering; Sociology; Political science; Geography; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507339,0.0001570005,0.001009883,0.000299183,0.00005040086,0.00002254771,0.00007570218,0.00006243671,0.0000249283],"category_scores_gemma":[0.0001934454,0.0001397368,0.00008503334,0.0005518088,0.0000588003,0.0002398302,0.0001369301,0.0002749806,6.647511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674145,"about_ca_system_score_gemma":0.0001386884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857716,"about_ca_topic_score_gemma":0.00762628,"domain_scores_codex":[0.9977036,0.0002308567,0.001345651,0.0002196156,0.0002603496,0.0002398876],"domain_scores_gemma":[0.9986119,0.00008683554,0.0009949787,0.0001347787,0.00008720197,0.00008426955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006690869,0.001137983,0.8870828,0.01559526,0.0001392853,0.008831987,0.003573748,0.00004140066,0.000002019306,0.00002455642,0.0002265603,0.08327753],"study_design_scores_gemma":[0.002782149,0.0002478502,0.8570879,0.007742613,0.0002263739,0.0003377138,0.1196063,0.00003847425,0.00000154122,0.00002152517,0.0116941,0.0002135067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653947,0.01956501,0.000008512081,0.01428829,0.0001853094,0.0004834144,0.000004030056,0.000002260564,0.00006842668],"genre_scores_gemma":[0.9196061,0.07991835,0.0001515887,0.000169345,0.00006670264,0.0000219091,0.000006219403,0.00001245293,0.00004729867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160325,"threshold_uncertainty_score":0.5698302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05090478029767354,"score_gpt":0.3718636868588677,"score_spread":0.3209589065611942,"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."}}