{"id":"W3000379474","doi":"10.1016/j.dib.2020.105144","title":"Dataset of test volume and tests repeated for complete blood count and electrolyte panels from hospitals in a Canadian province in 2018","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Mean corpuscular hemoglobin concentration; Mean corpuscular volume; Medicine; Hematocrit; Test (biology); Red blood cell distribution width; Complete blood count; Hemoglobin; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001285085,0.00142527,0.001379002,0.006457372,0.00209762,0.002014155,0.002718183,0.0008755235,0.01047686],"category_scores_gemma":[0.01182842,0.0005482524,0.001046416,0.01301279,0.0004254516,0.0005303508,0.001172621,0.001291388,0.005557704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02334037,"about_ca_system_score_gemma":0.04388945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731863,"about_ca_topic_score_gemma":0.9793285,"domain_scores_codex":[0.9974123,0.000130849,0.0002983049,0.0005667514,0.001086816,0.0005049307],"domain_scores_gemma":[0.9852718,0.001053613,0.001171349,0.0007639147,0.01083061,0.0009087016],"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":[0.0004539889,0.00009980901,0.1530076,0.001176744,0.0002545914,0.0003161392,0.0002550132,0.001833324,0.0004523078,0.001386843,0.8200176,0.02074591],"study_design_scores_gemma":[0.0002006407,0.00006748051,0.4069438,0.001391314,0.0002669753,0.0004884176,0.000975689,0.003714503,0.001097544,0.001010343,0.5836768,0.0001665174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003628547,0.0002599978,0.0001774462,0.000152622,0.00002853989,0.00004516021,0.9942629,0.0001129794,0.001331812],"genre_scores_gemma":[0.01533052,0.0003013476,0.0008161088,0.0001794668,0.00002029322,0.0001123795,0.982101,0.00002855562,0.001110241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02681369,"threshold_uncertainty_score":0.169347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07147136688046778,"score_gpt":0.3392294035682908,"score_spread":0.2677580366878231,"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."}}