{"id":"W3097926973","doi":"10.1093/ajcp/aqaa137.033","title":"What’s in a Name? Comparative Analysis of Laboratory Test Naming Guidelines as Applied to Common Confusing Test Names","year":2020,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Computer science; Respondent; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06626327,0.0003039018,0.0007012936,0.004898474,0.00167545,0.004581275,0.00164106,0.001579141,0.002059377],"category_scores_gemma":[0.3931461,0.0004033127,0.0008797311,0.004457061,0.003533817,0.007595486,0.004589725,0.001777987,0.0004920611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005686489,"about_ca_system_score_gemma":0.00909287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009367074,"about_ca_topic_score_gemma":0.01056526,"domain_scores_codex":[0.9140311,0.05370748,0.0121005,0.002871664,0.01452221,0.00276716],"domain_scores_gemma":[0.5358311,0.3106382,0.07513641,0.00896526,0.06539632,0.004032663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008120383,0.0003931668,0.5026947,0.002258578,0.0001502645,0.0009972646,0.3644044,0.0007302026,0.002509405,0.006303168,0.006228837,0.112518],"study_design_scores_gemma":[0.00006621064,0.0009082186,0.4099631,0.002918375,0.0002113089,0.001040634,0.5512621,0.005936072,0.002756314,0.002925559,0.02173315,0.0002789543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887028,0.0005926279,0.00460492,0.001624713,0.00009161426,0.0003891713,0.0002187854,0.00005868034,0.00371662],"genre_scores_gemma":[0.993206,0.0005010709,0.004581666,0.0006328002,0.00002555465,0.0004777503,0.0002187051,0.00004250537,0.0003139332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06626327,"threshold_uncertainty_score":0.3504378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08670043127588939,"score_gpt":0.4435066547559663,"score_spread":0.356806223480077,"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."}}