{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006650752,0.0001622615,0.0003713542,0.00009762241,0.0001042246,0.000008733682,0.00016555,0.0001846893,0.0002378151],"category_scores_gemma":[0.000176137,0.0001063295,0.00006964186,0.000147631,0.000212363,0.00002796322,0.0002166225,0.0004834202,0.0002007833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405013,"about_ca_system_score_gemma":0.00003269129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000253441,"about_ca_topic_score_gemma":0.0002402039,"domain_scores_codex":[0.9982377,0.0004439291,0.0003444458,0.000400677,0.0001229801,0.0004503075],"domain_scores_gemma":[0.9992035,0.0001867728,0.00005876074,0.0004255305,0.00001369664,0.0001117391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003532936,0.000859338,0.9388841,0.0001743892,0.0001101196,0.0004354988,0.001695722,0.000351623,0.004830691,0.02054085,0.0009504625,0.03081392],"study_design_scores_gemma":[0.0008995205,0.0009317916,0.9785501,0.00002599818,0.00002330877,0.0002236387,0.0002015164,0.001145457,0.0004741265,0.0002869062,0.01712756,0.0001100336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569565,0.00009117278,0.0002340164,0.01192081,0.0001779929,0.0008188341,6.362448e-7,0.00003793895,0.02976209],"genre_scores_gemma":[0.9922256,0.00005313033,0.0006186276,0.006159714,0.0001374061,0.0001751026,0.00001122509,0.00001670766,0.000602463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03966605,"threshold_uncertainty_score":0.4335991,"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."}}