{"id":"W4310690263","doi":"10.22374/cjgim.v17i4.650","title":"Reduce, Reuse, Recycle: Top 10 Choosing Wisely Canada’s Recommendations for Conserving Laboratory Resources","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of General Internal Medicine","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dr. Georges-L.-Dumont University Hospital Centre; University of Toronto; Western University; Memorial University of Newfoundland; University of Saskatchewan; University of Alberta; Queen's University; Brampton Civic Hospital; Interior Health; Horizon Health Network; University of British Columbia; Dr. Everett Chalmers Regional Hospital; Dalhousie University","funders":"","keywords":"Staffing; Medicine; Economic shortage; Medical emergency; Pandemic; Medical laboratory; Coronavirus disease 2019 (COVID-19); Operations management; Nursing; Pathology; Engineering; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01778072,0.001608283,0.001306068,0.005209123,0.009532196,0.01262516,0.007283566,0.009659505,0.01897585],"category_scores_gemma":[0.05084868,0.001107827,0.0022104,0.006486204,0.005061179,0.004242172,0.005407228,0.0103057,0.005820884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05465021,"about_ca_system_score_gemma":0.4129166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8559105,"about_ca_topic_score_gemma":0.9470946,"domain_scores_codex":[0.9697222,0.003785824,0.001918669,0.001090389,0.0186857,0.004797346],"domain_scores_gemma":[0.8733974,0.008559211,0.003734455,0.001522649,0.06856727,0.04421907],"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":[0.00004570241,0.0001499293,0.003867353,0.0008980634,0.00005523065,0.0002121723,0.0005207481,0.0002842603,0.000364011,0.004947701,0.8988245,0.08983048],"study_design_scores_gemma":[0.00006862362,0.00007303066,0.01199833,0.003905632,0.0001049543,0.0001870244,0.001623448,0.0005489127,0.000472143,0.003338389,0.97751,0.0001694705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004318495,0.03010841,0.004284919,0.8688125,0.008379246,0.001029231,0.003177667,0.000947063,0.07894247],"genre_scores_gemma":[0.06923972,0.1083464,0.112094,0.606706,0.004926269,0.001420391,0.006953546,0.00139101,0.08892273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1440895,"threshold_uncertainty_score":0.3965169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.432676860445832,"score_gpt":0.5024400351208822,"score_spread":0.06976317467505022,"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."}}