{"id":"W1965110177","doi":"10.2310/7200.2007.001","title":"How to Improve Accrual to Clinical Trials of Symptom Control 2: Design Issues","year":2007,"lang":"en","type":"article","venue":"Journal of the Society for Integrative Oncology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Accrual; Medicine; Clinical trial; Limiting; Randomized controlled trial; Inclusion (mineral); Inclusion and exclusion criteria; Control (management); Intensive care medicine; Alternative medicine; Surgery; Psychology; Internal medicine; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1114822,0.0001909704,0.002087795,0.00009228774,0.00009751837,0.00002640868,0.0007176364,0.0008662281,0.00003754626],"category_scores_gemma":[0.354268,0.0000948439,0.004130427,0.0003116302,0.0005996897,0.00007057112,0.0001486593,0.002927423,0.000004295898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548827,"about_ca_system_score_gemma":0.002233164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007748494,"about_ca_topic_score_gemma":0.00009475029,"domain_scores_codex":[0.9936786,0.001803386,0.002837565,0.0002751072,0.0009543428,0.0004509781],"domain_scores_gemma":[0.7655329,0.221723,0.003123766,0.0006381253,0.008113678,0.0008685454],"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":[0.05805512,0.003214624,0.003842904,0.0003270916,0.01128696,0.00004539561,0.01842286,0.00003904779,0.1963751,0.02323348,0.5772922,0.1078652],"study_design_scores_gemma":[0.04562098,0.1318658,0.006483083,0.002583102,0.003977853,0.0001514363,0.06122294,0.0002434176,0.2426477,0.1279513,0.3765997,0.0006526979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05689929,0.0006208224,0.5334761,0.4003097,0.003565181,0.004415525,0.0000818047,0.00001202772,0.0006195555],"genre_scores_gemma":[0.677761,0.0005293574,0.2758124,0.02067391,0.005639545,0.00006203935,0.000001241408,0.00005989273,0.01946064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6208616,"threshold_uncertainty_score":0.9993728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5906111808305087,"score_gpt":0.6760831140500585,"score_spread":0.08547193321954982,"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."}}