{"id":"W7100148947","doi":"","title":"CLINICAL TRIALS DATA MANAGEMENT AND TRIAL CONDUCT Clinical Trials 2013; 0: 1–9 Data collection in cancer clinical trials: Too much of a good thing?","year":2016,"lang":"en","type":"article","venue":"","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Data collection; Cancer; Missing data; Patient data; Data management; MEDLINE; Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5977763,0.00272657,0.00630182,0.01249361,0.003980583,0.02654785,0.007503937,0.008564458,0.03724502],"category_scores_gemma":[0.8428758,0.004331068,0.005463019,0.02517285,0.01465215,0.0155074,0.0150726,0.01183397,0.02680062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038464,"about_ca_system_score_gemma":0.06496488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651052,"about_ca_topic_score_gemma":0.00161442,"domain_scores_codex":[0.152967,0.701718,0.1029789,0.006312664,0.0341519,0.001871563],"domain_scores_gemma":[0.06476714,0.6035113,0.105311,0.1366909,0.08069314,0.009026603],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003157031,0.0003304626,0.005935211,0.04747983,0.001808137,0.0002850268,0.004974809,0.001092753,0.0005125323,0.05120594,0.329376,0.5538423],"study_design_scores_gemma":[0.003098765,0.0008693693,0.004781933,0.07458553,0.0006158749,0.0008434386,0.001269106,0.002975562,0.001031881,0.06036738,0.8491994,0.0003618076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009404076,0.1014255,0.3579917,0.195239,0.02947005,0.1553163,0.02487049,0.008693012,0.1175899],"genre_scores_gemma":[0.06688169,0.05693855,0.5910521,0.0366485,0.01316519,0.2002965,0.01506042,0.004884708,0.0150724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4022237,"threshold_uncertainty_score":0.4960135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9732657771496248,"score_gpt":0.7902687422291744,"score_spread":0.1829970349204504,"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."}}