{"id":"W2907637805","doi":"10.1016/j.clinbiochem.2018.12.013","title":"Estimated costs of 51 commonly ordered laboratory tests in Canada","year":2019,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Calgary Laboratory Services","funders":"Canadian Institutes of Health Research; Calgary Laboratory Services","keywords":"Test (biology); Laboratory test; National laboratory; Diagnostic test; Medicine; Medical physics; Health care; Medical laboratory; Family medicine; Computer science; Medical education; Operations management; Pediatrics; Pathology; Engineering; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041801,0.000165479,0.0007925248,0.00002051216,0.00001386706,0.000007856892,0.0001812636,0.0002700487,0.0004408777],"category_scores_gemma":[0.006674456,0.0001504544,0.0001026222,0.000351283,0.0001174059,0.00004446383,0.00006841574,0.0006873281,0.00004855698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378627,"about_ca_system_score_gemma":0.004480644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09272579,"about_ca_topic_score_gemma":0.111537,"domain_scores_codex":[0.99755,0.0001515864,0.001320584,0.0004135724,0.0003068773,0.0002574106],"domain_scores_gemma":[0.9953439,0.002833206,0.0004198403,0.0007441088,0.0003473587,0.0003116375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000640587,0.0005067745,0.9714975,0.0002158356,0.00006623023,0.00006778083,0.000004103401,0.000003632224,0.02195725,0.00002962338,0.002562406,0.002448284],"study_design_scores_gemma":[0.01313639,0.0005885058,0.9399582,0.001121575,0.0001876747,0.00001140902,0.0003591324,0.001518894,0.03066303,0.00002951087,0.01188931,0.0005364218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951475,0.0004404259,9.204856e-7,0.002015488,0.0002562038,0.0002711864,0.0001420533,0.00002247495,0.001703699],"genre_scores_gemma":[0.9965199,0.00005805972,0.000237842,0.002816918,0.00009131958,0.000005058262,0.00006490739,0.0000178944,0.000188084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03153935,"threshold_uncertainty_score":0.9133158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04450791373885019,"score_gpt":0.393133374799054,"score_spread":0.3486254610602038,"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."}}