{"id":"W2745176115","doi":"10.1200/cci.17.00018","title":"A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer","year":2017,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Weill Cornell Medical College; National Institutes of Health; Alberta Innovates; Turun Yliopisto; Hebrew University of Jerusalem; Sanofi; European Commission; U.S. National Library of Medicine; University of Alberta; Brigham Young University; Memorial Sloan-Kettering Cancer Center; Åbo Akademi; Tulane University; University of California, San Francisco; Boettcher Foundation; Brigham and Women's Hospital; Celgene; AstraZeneca; Prostate Cancer Foundation","keywords":"Docetaxel; Prostate cancer; Discontinuation; Medicine; Oncology; Internal medicine; Cancer; Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009094531,0.0002027932,0.0006425614,0.0001546851,0.0001537056,0.00008001849,0.0002119812,0.0001130335,0.00002550488],"category_scores_gemma":[0.0002919157,0.0001535189,0.000175179,0.0001153941,0.0001636498,0.0007055331,0.00007851881,0.0002556578,0.000002543656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002595069,"about_ca_system_score_gemma":0.0006989898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004524841,"about_ca_topic_score_gemma":0.00226322,"domain_scores_codex":[0.9973477,0.00003194677,0.001521761,0.0002211184,0.0004960828,0.0003814629],"domain_scores_gemma":[0.9981354,0.0001611785,0.0004816127,0.0005385079,0.0004506737,0.0002326433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01976595,0.003573798,0.4118571,0.006665734,0.001467806,0.00003598675,0.02532233,0.01095003,0.001318497,0.001960661,0.00398975,0.5130923],"study_design_scores_gemma":[0.04027949,0.01064904,0.6674713,0.00667156,0.001765969,0.000008134354,0.003893903,0.2533399,0.005091866,0.003497469,0.006177312,0.001153996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864548,0.0007615089,0.001581474,0.003546766,0.0004953464,0.004492455,0.001255469,0.00003294178,0.001379236],"genre_scores_gemma":[0.9909515,0.003698494,0.002540259,0.000136996,0.0002035967,0.001681975,0.000129822,0.00002508084,0.0006322231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5119383,"threshold_uncertainty_score":0.6260319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025410786826149,"score_gpt":0.4836714568212873,"score_spread":0.2811303781386724,"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."}}