{"id":"W4401328666","doi":"10.1001/jama.2024.0268","title":"Modernizing the Data Infrastructure for Clinical Research to Meet Evolving Demands for Evidence","year":2024,"lang":"en","type":"article","venue":"JAMA","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Clinical trial; Quality (philosophy); Data quality; Risk analysis (engineering); Data science; Operations management; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2602583,0.001519456,0.002899089,0.01650472,0.003752211,0.02793993,0.01065658,0.00898505,0.01591895],"category_scores_gemma":[0.403304,0.002413494,0.004525561,0.02088571,0.01202808,0.04736637,0.03007006,0.02202675,0.01189565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01268517,"about_ca_system_score_gemma":0.07253279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006040186,"about_ca_topic_score_gemma":0.004168847,"domain_scores_codex":[0.7866867,0.1304848,0.02891868,0.01532967,0.03303385,0.00554635],"domain_scores_gemma":[0.2846868,0.3548927,0.04140719,0.2070787,0.08858372,0.02335087],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004514029,0.0004714614,0.02558884,0.006318563,0.0009763961,0.0003432871,0.003611786,0.00553855,0.004959349,0.265752,0.1571482,0.5288401],"study_design_scores_gemma":[0.0003311781,0.0003713673,0.01365201,0.008672048,0.0004050019,0.0007716074,0.002586081,0.006981424,0.002618427,0.3697019,0.5935162,0.0003929021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009360125,0.0192549,0.3744165,0.557694,0.005828846,0.002257033,0.006251102,0.005513154,0.01942429],"genre_scores_gemma":[0.07823715,0.02178311,0.8057198,0.06149252,0.0137298,0.003428221,0.00942591,0.001942003,0.004241639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7397417,"threshold_uncertainty_score":0.9122332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6819709399531636,"score_gpt":0.6783666506501326,"score_spread":0.003604289303031027,"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."}}