{"id":"W4407700255","doi":"10.2196/63396","title":"Exploring Metadata Catalogs in Health Care Data Ecosystems: Taxonomy Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Interoperability; Computer science; Knowledge management; Data science; Health care; Taxonomy (biology); World Wide Web; Ecology","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":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01513244,0.0002014714,0.0003543416,0.001998192,0.0006462375,0.004986539,0.01121339,0.00002856023,0.00000375616],"category_scores_gemma":[0.0006026654,0.0001803163,0.00002010233,0.003461024,0.00007105446,0.1234887,0.02001636,0.0008965908,0.0001072614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105971,"about_ca_system_score_gemma":0.001823499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493997,"about_ca_topic_score_gemma":0.005455653,"domain_scores_codex":[0.9928529,0.002307877,0.0008291602,0.001095023,0.00178866,0.001126428],"domain_scores_gemma":[0.9943116,0.0007985713,0.0001630586,0.004224836,0.000321635,0.0001803306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001872817,0.004338159,0.02134507,0.006516972,0.0009195872,0.0003542411,0.1230433,0.00005452413,0.00001163334,0.2080918,0.08114162,0.5539959],"study_design_scores_gemma":[0.0009962941,0.0002841844,0.0206154,0.0003179405,0.000001671833,0.000001380906,0.05286619,0.002059588,0.000118796,0.00003689048,0.92247,0.0002316202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1635644,0.005544414,0.736135,0.0184042,0.001925272,0.03682631,0.000596468,0.00075315,0.03625081],"genre_scores_gemma":[0.9838552,0.000455614,0.008998949,0.00007962256,0.00002938681,0.004962077,0.0005554168,0.00001378877,0.001049954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8413284,"threshold_uncertainty_score":0.9960464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6097391406182237,"score_gpt":0.5129044745902024,"score_spread":0.09683466602802127,"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."}}