{"id":"W2161096693","doi":"10.1177/1740774513491337","title":"Data collection in cancer clinical trials: Too much of a good thing?","year":2013,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Clinical Oncology Group; McMaster University","funders":"","keywords":"Clinical trial; Medicine; Data collection; Cancer; Family medicine; Medical physics; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.711684,0.002692986,0.008254092,0.02180713,0.00754468,0.03257463,0.009796745,0.008896391,0.006563801],"category_scores_gemma":[0.8800961,0.004351068,0.006358568,0.04401588,0.03158434,0.03207138,0.01433019,0.01742163,0.006177967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0185431,"about_ca_system_score_gemma":0.05280794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004668653,"about_ca_topic_score_gemma":0.003343357,"domain_scores_codex":[0.1010474,0.665253,0.1293603,0.01182128,0.09037744,0.002140662],"domain_scores_gemma":[0.02466349,0.7350729,0.09213905,0.07111463,0.07095932,0.006050722],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003632573,0.0005396046,0.05115268,0.09639258,0.003476637,0.0004329647,0.02419624,0.001465409,0.001564279,0.02544131,0.1894728,0.602233],"study_design_scores_gemma":[0.001630083,0.00362467,0.06094093,0.2393021,0.002708215,0.003136047,0.02274309,0.004075728,0.00400154,0.1077113,0.5486326,0.001493704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03071656,0.2324908,0.1672824,0.4901914,0.03282639,0.01687196,0.008640398,0.001664471,0.01931557],"genre_scores_gemma":[0.2364945,0.1175571,0.416218,0.1562509,0.02688751,0.03524137,0.005577943,0.002558767,0.003214069],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.288316,"threshold_uncertainty_score":0.355545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9731630913816647,"score_gpt":0.8030679916317143,"score_spread":0.1700950997499504,"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."}}