{"id":"W2944431774","doi":"10.1016/j.clon.2019.04.010","title":"Clinical Trials From the Other Side: Lessons Learned by a Clinician Venturing Into a Clinical Trials Unit","year":2019,"lang":"en","type":"article","venue":"Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Cancer Research; National Institute for Health and Care Research; Cancer Research UK","keywords":"Clinical trial; Medicine; Breast cancer; Medical physics; Portfolio; Unit (ring theory); Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07044097,0.0004271614,0.003380672,0.00003577057,0.0001553823,0.00008449202,0.001135746,0.002244173,0.0004775413],"category_scores_gemma":[0.1066149,0.0003048152,0.002471944,0.0001374952,0.0008738719,0.000007835975,0.0007408143,0.001594276,0.0007297698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004942323,"about_ca_system_score_gemma":0.001401871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004423168,"about_ca_topic_score_gemma":0.001116253,"domain_scores_codex":[0.9701725,0.01943928,0.007909887,0.001574701,0.0002700619,0.0006335244],"domain_scores_gemma":[0.9337564,0.06083687,0.002918366,0.001717026,0.000211052,0.0005603379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004859686,0.001971719,0.1780848,0.00001232537,0.001614485,0.00002051994,0.00006216564,0.00002521081,0.004208484,0.0006200267,0.1365719,0.6719487],"study_design_scores_gemma":[0.009317094,0.0039926,0.02171135,0.00004242493,0.000498048,0.000002575753,0.0001893814,0.0001015308,0.0003757663,0.002616821,0.9607397,0.0004127012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575388,0.004258869,0.0006950788,0.0222118,0.01059949,0.001545955,0.0004547084,0.00004167526,0.002653668],"genre_scores_gemma":[0.9266893,0.01830094,0.001477508,0.03440197,0.01636961,0.000115293,0.0005373352,0.00013913,0.001968962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8241678,"threshold_uncertainty_score":0.9999404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3947663131966537,"score_gpt":0.5728116108719309,"score_spread":0.1780452976752772,"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."}}