{"id":"W3044584497","doi":"10.1016/j.resconrec.2020.104882","title":"The Green Print: Advancement of Environmental Sustainability in Healthcare","year":2020,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":315,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia; University of Waterloo; BC Cancer Agency","funders":"Yale School of Medicine; National Science Foundation","keywords":"Sustainability; Health care; Business; Context (archaeology); Environmental resource management; Political science","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":[0.0002997751,0.00005958388,0.00009320893,0.00001037341,0.0001405297,0.000009239589,0.00006586144,0.00003111751,0.00005233848],"category_scores_gemma":[0.00008110513,0.00004397489,0.00001527035,0.00009798251,0.0001267731,0.00005942714,0.00009994439,0.00008312164,0.000004116005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003071,"about_ca_system_score_gemma":0.000006727601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009593671,"about_ca_topic_score_gemma":0.000561151,"domain_scores_codex":[0.9992326,0.00006700913,0.0002520267,0.0001477845,0.000133948,0.0001666185],"domain_scores_gemma":[0.9995974,0.0001148853,0.00009943705,0.00008344365,0.000003474046,0.0001013357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008952237,0.0000244352,0.8829777,0.0001095074,0.000001584301,0.000001488375,0.00676591,0.00008479077,0.0009583574,0.00008451242,0.00004159196,0.1088606],"study_design_scores_gemma":[0.0003595147,0.0001031012,0.9134895,0.00002897912,0.000002549627,9.360436e-7,0.003459202,0.003160336,0.0001718069,0.0005707995,0.07857689,0.00007644793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666812,0.0003363508,0.00001643228,0.1326101,0.00001205923,0.0002383218,0.000003756302,0.000007000875,0.00009477755],"genre_scores_gemma":[0.9961181,0.001084181,0.00005701937,0.002643094,0.00001835265,0.000007890176,0.000002599744,0.000004336401,0.00006436957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129967,"threshold_uncertainty_score":0.1793244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463137961569569,"score_gpt":0.2851176635214638,"score_spread":0.2504862839057681,"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."}}