{"id":"W2390448317","doi":"","title":"Management of Hospital Trash in Xi'an","year":2005,"lang":"en","type":"article","venue":"Zhiye yu jiankang","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Test (biology); Significant difference; Medicine; Operations management; Medical emergency; Environmental health; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004818465,0.0002296242,0.00007745526,0.0005293586,0.001143481,0.0004471095,0.0004014508,0.0003241607,0.002758168],"category_scores_gemma":[0.0007221933,0.0001524073,0.00008324815,0.0005867262,0.0003522404,0.000333891,0.0006473029,0.000279055,0.0001672475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197145,"about_ca_system_score_gemma":0.0030184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216057,"about_ca_topic_score_gemma":0.02815399,"domain_scores_codex":[0.9996727,0.00008467062,0.00002489447,0.00002977459,0.00007168005,0.0001163544],"domain_scores_gemma":[0.9994985,0.00003028408,0.0002250444,0.0000120163,0.00006522387,0.0001689138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000147696,0.0004900422,0.9278772,0.0002226587,0.00001990235,0.002016674,0.008428788,0.001107509,0.005121593,0.0003954446,0.002499613,0.05167288],"study_design_scores_gemma":[0.00001170715,0.0006869916,0.9639364,0.0001009457,0.00001181211,0.0007331251,0.02694483,0.0008418433,0.001240447,0.0001375409,0.005334382,0.00001986177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983791,0.0001515234,0.000115506,0.0003546844,0.000006575058,0.00002699571,0.000047444,0.00000555205,0.0009126252],"genre_scores_gemma":[0.9960158,0.0004290407,0.000374303,0.0001412492,0.000008839029,0.00002520965,0.0001369834,0.000001046951,0.002867583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216057,"threshold_uncertainty_score":0.02417958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399994815692137,"score_gpt":0.2790072740232509,"score_spread":0.2650073258663295,"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."}}