{"id":"W4416919420","doi":"10.1016/j.cjca.2025.11.042","title":"Outcome Monitoring and Intermediate End Points for Gene Therapy","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genetic enhancement; Outcome (game theory); Multidisciplinary approach; Disease; Clinical trial; Set (abstract data type); End point; Principal (computer security)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05149058,0.0008236671,0.002771791,0.0008572514,0.0004076154,0.00262338,0.0008666884,0.001850003,0.003526954],"category_scores_gemma":[0.1557076,0.0003830576,0.002417374,0.001238087,0.001626925,0.002109127,0.001361242,0.005261736,0.0002719935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067072,"about_ca_system_score_gemma":0.001908667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007373516,"about_ca_topic_score_gemma":0.0008890353,"domain_scores_codex":[0.9441298,0.04993224,0.001703765,0.001691135,0.001870943,0.0006721934],"domain_scores_gemma":[0.7912227,0.1847876,0.01371462,0.006795971,0.001986977,0.001492066],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.1848016,0.001568427,0.1619948,0.006713039,0.01753665,0.0004165106,0.0008548043,0.02886615,0.001673416,0.1316675,0.02374606,0.440161],"study_design_scores_gemma":[0.01336842,0.01535836,0.1520828,0.002532196,0.01830628,0.0006732859,0.0005143908,0.1488449,0.002935422,0.6245013,0.02056052,0.0003220799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5323804,0.1105245,0.2827636,0.04477233,0.003977872,0.0009158712,0.005017627,0.0006730068,0.01897489],"genre_scores_gemma":[0.9688195,0.004244433,0.02043092,0.002200524,0.001217663,0.0007261552,0.0009854101,0.00007823428,0.001297234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9485095,"threshold_uncertainty_score":0.2723114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4627381572782794,"score_gpt":0.5422132878777125,"score_spread":0.07947513059943306,"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."}}