{"id":"W2945539778","doi":"10.2196/13590","title":"Fast Healthcare Interoperability Resources, Clinical Quality Language, and Systematized Nomenclature of Medicine—Clinical Terms in Representing Clinical Evidence Logic Statements for the Use of Imaging Procedures: Descriptive Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Evidence-based medicine; Computer science; Quality (philosophy); Health care; Medicine; Medical physics; Medical education; Alternative medicine; Pathology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0111867,0.0001962953,0.0009764383,0.00005441448,0.0000472617,0.00002129969,0.0005224557,0.0003774707,0.00001089658],"category_scores_gemma":[0.02182465,0.0001093706,0.0001693863,0.000148981,0.001374922,0.00003190398,0.0005162073,0.0006243797,8.79037e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853397,"about_ca_system_score_gemma":0.0002066966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731667,"about_ca_topic_score_gemma":0.0002409027,"domain_scores_codex":[0.9935889,0.001220186,0.00391966,0.0003628484,0.000619626,0.0002888397],"domain_scores_gemma":[0.9945918,0.00308105,0.001172283,0.0006966332,0.000257891,0.0002003294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008528138,0.0004752048,0.943376,0.00263193,0.0001516856,0.000002551259,0.01813146,9.865352e-7,0.00004851834,0.00001673429,0.0009758093,0.03333632],"study_design_scores_gemma":[0.01145794,0.006256968,0.7280223,0.007035322,0.0001417427,0.00002186473,0.2385914,0.006045552,0.00005624556,0.0001149546,0.001798762,0.0004569416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947605,0.0007771829,0.001272901,0.0009770404,0.0003174127,0.001843937,0.00002226383,0.00001372245,0.00001502817],"genre_scores_gemma":[0.9962524,0.0004138584,0.002259979,0.0007853279,0.0001396713,0.00007562299,0.00001871798,0.00001014548,0.00004428745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22046,"threshold_uncertainty_score":0.9864149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.216553290292055,"score_gpt":0.5207034948081783,"score_spread":0.3041502045161233,"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."}}