{"id":"W2044964010","doi":"10.1177/0194599814544449","title":"Reducing the Preoperative Ecological Footprint in Otolaryngology","year":2014,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Otorhinolaryngology; Medicine; Rhinology; Head and neck; Surgery; Head and neck surgery","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":[0.0009452065,0.0002968082,0.000195835,0.0009520842,0.0004361408,0.0007087549,0.0003931308,0.0003094294,0.001872411],"category_scores_gemma":[0.003291135,0.0001180751,0.0002702227,0.001029317,0.0005165996,0.0005024842,0.0009135546,0.0001945197,0.000181498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005805408,"about_ca_system_score_gemma":0.002163601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418611,"about_ca_topic_score_gemma":0.004775247,"domain_scores_codex":[0.9993381,0.0001922439,0.00005313414,0.00004269725,0.0002759394,0.00009790832],"domain_scores_gemma":[0.9987626,0.0004094724,0.0005000909,0.00006489173,0.00018585,0.00007711356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005240894,0.0004860113,0.6782342,0.0007183271,0.0000508079,0.001112932,0.0007567265,0.001677716,0.02024664,0.0004196689,0.000424849,0.2953481],"study_design_scores_gemma":[0.00002595314,0.003732881,0.9399072,0.0004714856,0.0001122165,0.00621563,0.004974937,0.001523034,0.03277628,0.001061102,0.009155477,0.00004379728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955747,0.001155298,0.001958729,0.000148444,0.000007691219,0.00003444218,0.00004388742,0.00001516295,0.001061658],"genre_scores_gemma":[0.9933946,0.001285932,0.00451878,0.00006792715,0.00001143659,0.00002875928,0.00008974758,0.000007830175,0.000595028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001872411,"threshold_uncertainty_score":0.006263852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854620975456664,"score_gpt":0.2754312915548173,"score_spread":0.2568850818002507,"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."}}