{"id":"W2097284043","doi":"10.1093/jnci/djt137","title":"Implementation of Timeline Reforms Speeds Initiation of National Cancer Institute-Sponsored Trials","year":2013,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"University of Texas MD Anderson Cancer Center; Beckman Research Institute, City of Hope; National Institutes of Health; Ohio State University; Queen's University; University of Pittsburgh; Johns Hopkins University; University of Wisconsin-Madison; Moffitt Cancer Center; National Cancer Institute; Brigham and Women's Hospital; Case Western Reserve University; Wayne State University; Children's Hospital of Philadelphia","keywords":"Timeline; Clinical trial; Protocol (science); Tracking (education); Medicine; Operations management; Operations research; Medical education; Psychology; Alternative medicine; Internal medicine; Engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.2928768,0.001775579,0.001338447,0.005362734,0.002619554,0.01596668,0.006178995,0.005708949,0.0159335],"category_scores_gemma":[0.4244557,0.001696213,0.002159096,0.005991767,0.002713043,0.01084954,0.01059327,0.01013765,0.005939732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02857405,"about_ca_system_score_gemma":0.07763693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004914,"about_ca_topic_score_gemma":0.009031471,"domain_scores_codex":[0.8004259,0.1215576,0.0206432,0.008617021,0.03207186,0.01668429],"domain_scores_gemma":[0.4427114,0.2244817,0.1393168,0.04286485,0.09748651,0.05313877],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002499917,0.001714972,0.03103422,0.003641501,0.00049076,0.000362252,0.004264462,0.01195813,0.004392112,0.04224983,0.2897813,0.6076105],"study_design_scores_gemma":[0.003511109,0.004911564,0.107212,0.00341691,0.0003736927,0.0003339943,0.003039258,0.007553907,0.005891632,0.02511592,0.8382184,0.0004215729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1263677,0.01988413,0.2509446,0.4050097,0.01194872,0.01737058,0.003219723,0.01512153,0.1501334],"genre_scores_gemma":[0.6297671,0.008581792,0.2248165,0.08424788,0.008021141,0.01752142,0.004288127,0.002361228,0.02039467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7071232,"threshold_uncertainty_score":0.8720088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6420990883702133,"score_gpt":0.6425010716269969,"score_spread":0.0004019832567835335,"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."}}