{"id":"W4403660897","doi":"10.1016/j.clinbiochem.2024.110835","title":"Multidisciplinary approach to redefining thyroid hormone reference intervals with big data analysis","year":2024,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; Calgary Laboratory Services; University of Calgary; University of Alberta; Saskatchewan Health Authority","funders":"","keywords":"Multidisciplinary approach; Big data; Thyroid; Hormone; Medicine; Internal medicine; Data science; Computer science; Data mining; Sociology; Social science","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":[0.01820762,0.001343508,0.002334049,0.004204288,0.001164374,0.005320413,0.003075835,0.001114359,0.002289365],"category_scores_gemma":[0.0455758,0.0006958771,0.001882406,0.002931606,0.0007469399,0.002570909,0.005890742,0.003632584,0.0006802833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270196,"about_ca_system_score_gemma":0.00492656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006217361,"about_ca_topic_score_gemma":0.008453221,"domain_scores_codex":[0.9909767,0.004862363,0.001000354,0.001343849,0.001474382,0.0003423143],"domain_scores_gemma":[0.9703491,0.0166533,0.002162518,0.003702716,0.005930425,0.001201963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001059977,0.000471365,0.1126844,0.001527288,0.003383601,0.001547567,0.001912691,0.0626223,0.0099552,0.02479177,0.03587861,0.7441652],"study_design_scores_gemma":[0.000259657,0.0004901979,0.04976931,0.001864173,0.001801817,0.002310311,0.003888933,0.5840048,0.01412571,0.2578796,0.08319197,0.0004135559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02004776,0.006504217,0.957277,0.008515131,0.0006398455,0.0003393915,0.001327283,0.001507566,0.003841774],"genre_scores_gemma":[0.3464935,0.002745851,0.6428869,0.002805388,0.0008642803,0.0004426877,0.00223381,0.0004979076,0.001029562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01820762,"threshold_uncertainty_score":0.09629226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513373025261948,"score_gpt":0.3964748805105944,"score_spread":0.2451375779843996,"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."}}