{"id":"W4407699740","doi":"10.1200/jco.2025.43.5_suppl.252","title":"Circulating tumor DNA levels and related kinetics as prognostic biomarkers for clinical outcomes in mCRPC: A post hoc analysis of CM 7DX.","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Post-hoc analysis; Post hoc; Oncology; Internal medicine; Cancer research; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002978068,0.0006322219,0.00126229,0.0002784535,0.0002102234,0.0005908858,0.0005459845,0.0005086595,0.003494896],"category_scores_gemma":[0.001963462,0.0001765528,0.001775274,0.0002445751,0.0003661877,0.000460205,0.000514176,0.00106718,0.0003152595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844385,"about_ca_system_score_gemma":0.0006053639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009507581,"about_ca_topic_score_gemma":0.001126054,"domain_scores_codex":[0.998417,0.0007770923,0.00004066728,0.0003817364,0.000133686,0.0002497274],"domain_scores_gemma":[0.9980877,0.0009835002,0.000204593,0.0003425161,0.00008783965,0.0002937831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.5335693,0.003534625,0.3843893,0.0003220689,0.01057845,0.0003903904,0.0003096463,0.002199891,0.02510636,0.0002043235,0.003362495,0.03603316],"study_design_scores_gemma":[0.005587409,0.1069537,0.8550266,0.00003033326,0.005738909,0.0004746816,0.0003018659,0.01424852,0.007096921,0.0002460937,0.004246025,0.0000490082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982904,0.0002829105,0.0004544553,0.00005807081,0.00003340529,0.00005951645,0.0005040814,0.00001866025,0.0002985034],"genre_scores_gemma":[0.9969398,0.00004454832,0.0005481641,0.000066183,0.0000414301,0.0001182685,0.0009698513,0.00001861476,0.001253109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003494896,"threshold_uncertainty_score":0.01574975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06865620278592825,"score_gpt":0.4559697608555683,"score_spread":0.3873135580696401,"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."}}