{"id":"W2546588874","doi":"10.12927/hcq.2016.24792","title":"Organic Waste Reduction at Hamilton Health Sciences","year":2016,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Reduction (mathematics); Best practice; Medicine; Waste management; Business; Engineering; Management; Economics; Mathematics","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":[0.0006002471,0.000348741,0.0001071842,0.0007160406,0.004897163,0.002126538,0.0006765205,0.001210283,0.03505836],"category_scores_gemma":[0.0007927986,0.0002608596,0.0002299139,0.0005617681,0.001404343,0.0004718103,0.001737521,0.001424539,0.002511807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01433319,"about_ca_system_score_gemma":0.04114386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2639,"about_ca_topic_score_gemma":0.5843611,"domain_scores_codex":[0.9988763,0.0001258973,0.00001623795,0.00007841898,0.0006057493,0.0002974475],"domain_scores_gemma":[0.9986585,0.00007418023,0.00004602763,0.00002661011,0.0003913171,0.0008033048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001220057,0.0003101769,0.01228683,0.0004217643,0.00001790678,0.003146823,0.002957976,0.0004006256,0.007596196,0.01267691,0.6456925,0.3143703],"study_design_scores_gemma":[0.00002426621,0.0002242632,0.01814998,0.000229012,0.00001060596,0.0007689767,0.002905051,0.0003099916,0.004063375,0.001536826,0.9717469,0.00003073794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1675593,0.02520767,0.006515516,0.3225368,0.005759359,0.0006804154,0.0008905395,0.001072559,0.469778],"genre_scores_gemma":[0.335521,0.01849123,0.00826786,0.02322169,0.001038438,0.0001019893,0.0002267008,0.000169967,0.6129612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2639,"threshold_uncertainty_score":0.5247278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940083718337347,"score_gpt":0.306794922493826,"score_spread":0.2773940853104525,"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."}}