{"id":"W4321360204","doi":"10.2196/43484","title":"Data Challenges for Externally Controlled Trials: Viewpoint","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Identification (biology); Reimbursement; Real world data; Data science; Randomized controlled trial; Data collection; Real world evidence; Comparative effectiveness research; Computer science; Medicine; Health care; Alternative medicine; Political science","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":[],"category_scores_codex":[0.7960608,0.002866427,0.007766736,0.008859791,0.004639667,0.02728684,0.01181834,0.02800846,0.005847271],"category_scores_gemma":[0.8622471,0.003643204,0.006696285,0.007567978,0.05268968,0.03475348,0.01534356,0.04264177,0.003348096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01562163,"about_ca_system_score_gemma":0.04504728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006634717,"about_ca_topic_score_gemma":0.003514879,"domain_scores_codex":[0.158938,0.7307796,0.03910117,0.01755387,0.05194014,0.001687176],"domain_scores_gemma":[0.04268971,0.8758413,0.01427041,0.03505928,0.03021932,0.001919999],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006751823,0.0001095311,0.002072167,0.006767091,0.001123723,0.0003364506,0.004671454,0.001790041,0.0002380932,0.8308691,0.06412224,0.0872248],"study_design_scores_gemma":[0.0009673955,0.0003510386,0.000978536,0.01383484,0.0005533476,0.0005343318,0.001620263,0.003196364,0.0005244116,0.8030871,0.1741507,0.0002017821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001648063,0.03127725,0.2562409,0.6773045,0.01274405,0.002814691,0.001458152,0.0003200412,0.01619233],"genre_scores_gemma":[0.06649323,0.01487785,0.4231186,0.4524301,0.02577218,0.0133765,0.000630592,0.0006653269,0.002635673],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7960608,"threshold_uncertainty_score":0.2514934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9362530133565048,"score_gpt":0.751610317599748,"score_spread":0.1846426957567568,"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."}}