{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009117289,0.001613331,0.00120813,0.001152089,0.0007180216,0.001342065,0.002674412,0.002405749,0.002355874],"category_scores_gemma":[0.02507956,0.0009743023,0.002002568,0.000601166,0.0008805181,0.001455937,0.002288112,0.002343915,0.0007696236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938203,"about_ca_system_score_gemma":0.002273528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01800493,"about_ca_topic_score_gemma":0.01683062,"domain_scores_codex":[0.9970928,0.0016363,0.0001767607,0.000672819,0.0002470267,0.0001743052],"domain_scores_gemma":[0.9818286,0.01478079,0.0006672324,0.0009130411,0.001217839,0.0005924919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001120689,0.0004767245,0.02426697,0.0004704694,0.0003751204,0.0002674764,0.000325635,0.9052153,0.0006064055,0.002215104,0.01996359,0.04469651],"study_design_scores_gemma":[0.0001094415,0.0001395452,0.00105477,0.00002674018,0.00002768549,0.00003149564,0.00006799841,0.993596,0.0004462374,0.002521365,0.001960948,0.00001781934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7309887,0.003708747,0.212724,0.008407691,0.0009971,0.001190878,0.01979151,0.01495122,0.007240204],"genre_scores_gemma":[0.8226609,0.0003734153,0.1493562,0.001364688,0.0001979301,0.0007874676,0.02180987,0.0004300879,0.003019472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01800493,"threshold_uncertainty_score":0.04821742,"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."}}