{"id":"W4401820769","doi":"10.3233/shti240599","title":"What People Know vs. What They Should Know About Laboratory Reference Ranges","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Sinai Health System","funders":"","keywords":"Reference range; Test (biology); Reference values; Principal (computer security); Range (aeronautics); Health care; Interpretation (philosophy); Computer science; Psychology; Medicine; Engineering; Political science; Ecology","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":[0.02173514,0.0003917287,0.0007313588,0.001049986,0.002815423,0.005878471,0.0009862817,0.004246774,0.003302818],"category_scores_gemma":[0.07514659,0.000488099,0.0006505824,0.0008546281,0.009826222,0.01275276,0.002857871,0.006821099,0.0007813251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805085,"about_ca_system_score_gemma":0.004041097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007983446,"about_ca_topic_score_gemma":0.006214541,"domain_scores_codex":[0.9802595,0.01288033,0.001021196,0.0009524455,0.003626265,0.001260196],"domain_scores_gemma":[0.9307141,0.04861195,0.007661971,0.001888425,0.007228361,0.003895219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004549896,0.0005554875,0.1514168,0.004319463,0.0003275924,0.00204089,0.5430471,0.0002710705,0.002183003,0.05240403,0.03597322,0.2070063],"study_design_scores_gemma":[0.0001184201,0.0005316112,0.0775204,0.008576646,0.0003653991,0.004031956,0.6865591,0.0006621904,0.001528468,0.06310821,0.1566926,0.0003049836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4111554,0.0368271,0.01567352,0.4641111,0.002378413,0.0001805069,0.0003832423,0.0001374026,0.06915328],"genre_scores_gemma":[0.9194272,0.01112461,0.00494496,0.06191466,0.0006588704,0.00007786914,0.00008699167,0.0000486052,0.001716321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02173514,"threshold_uncertainty_score":0.1149478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022208031665278,"score_gpt":0.4521299985316959,"score_spread":0.3499091953651681,"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."}}