{"id":"W2019561536","doi":"10.12927/hcq..18506","title":"Commentary: The Benefits and Impacts of the MOE/MAR Implementation: A Quantitative Approach","year":2006,"lang":"en","type":"letter","venue":"Healthcare Quarterly","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Best practice; Medicine; Management; Economics","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":[0.02109288,0.001279848,0.002243208,0.001335747,0.008890545,0.007446819,0.005686422,0.1204992,0.01064386],"category_scores_gemma":[0.1055322,0.001406619,0.002448134,0.002108826,0.00537833,0.004730962,0.003664459,0.06845945,0.00550455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01182498,"about_ca_system_score_gemma":0.02144757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249996,"about_ca_topic_score_gemma":0.04463513,"domain_scores_codex":[0.979628,0.008002447,0.00244372,0.001719684,0.005609474,0.002596671],"domain_scores_gemma":[0.9125927,0.06620387,0.003837319,0.0009351909,0.01179586,0.004635095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006661841,0.00002304443,0.0002099135,0.000165921,0.0000249002,0.0003617822,0.000449729,0.00006839988,0.00009548418,0.003520204,0.9914839,0.003530191],"study_design_scores_gemma":[0.000221034,0.0001367849,0.001550205,0.002040173,0.0001933483,0.0007192275,0.002854266,0.000535368,0.0005080593,0.01417022,0.9769446,0.0001266774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002389345,0.0003987358,0.00006250318,0.9861813,0.01158879,0.0000201749,0.00008169969,0.000007867086,0.001420024],"genre_scores_gemma":[0.002117065,0.0002970325,0.0001638381,0.9812214,0.0122298,0.00007534707,0.00001909259,0.00001243236,0.003863974],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1204992,"threshold_uncertainty_score":0.1115511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640604020585096,"score_gpt":0.3124547491664552,"score_spread":0.2860487089606042,"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."}}