{"id":"W4416171665","doi":"10.1177/18333583251389777","title":"Minimum dataset for the development of the National Haemophilia Registry","year":2025,"lang":"en","type":"article","venue":"Health Information Management Journal","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Iran University of Medical Sciences","keywords":"Haemophilia; Data quality; Epidemiology; Quality (philosophy); Quality management; Patient registry; MEDLINE; Data collection; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514949,0.00006870664,0.0001088716,0.0001755121,0.0006576426,0.0000466177,0.0002086652,0.0000263453,0.00003981583],"category_scores_gemma":[0.0001067213,0.00003460993,0.00005891511,0.0002432241,0.00004591955,0.0001795538,0.00008440536,0.0001571286,0.00001340222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248433,"about_ca_system_score_gemma":0.0007826222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001326256,"about_ca_topic_score_gemma":0.000002115513,"domain_scores_codex":[0.9985598,0.00002759728,0.000612786,0.00004938907,0.0005677012,0.0001827533],"domain_scores_gemma":[0.9992002,0.00007377786,0.0002686115,0.0001625473,0.00023583,0.00005899646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002453974,0.0001014412,0.001607409,0.001753313,0.0003901023,5.51837e-7,0.0008240055,0.00006452326,0.000004261378,0.005954554,0.8444207,0.1446338],"study_design_scores_gemma":[0.001772565,0.00004199094,0.03609925,0.0002578309,0.00003347428,0.00001575865,0.0007195036,0.0011025,0.00008768842,0.0007427295,0.9590911,0.00003562916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01788989,0.001471505,0.105499,0.7709073,0.003710968,0.01482034,0.001350965,0.00007163867,0.08427832],"genre_scores_gemma":[0.7396128,0.002829393,0.1067443,0.09537935,0.001124857,0.0009798816,0.005404118,0.00004592025,0.04787949],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7217228,"threshold_uncertainty_score":0.5058122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07180162887517093,"score_gpt":0.3992099619503187,"score_spread":0.3274083330751478,"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."}}