{"id":"W4406102421","doi":"10.1177/11795549241311408","title":"Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence","year":2025,"lang":"en","type":"review","venue":"Clinical Medicine Insights Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Prostate cancer; Medicine; Metastasis; Cancer; Radiation therapy; Clinical trial; Androgen deprivation therapy; Oncology; Disease; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005407787,0.0007403102,0.007361021,0.0006937185,0.0001164798,0.000006480514,0.0002345752,0.0006264769,0.0004449479],"category_scores_gemma":[0.0007728849,0.0003901349,0.0008799271,0.00102856,0.002036851,0.00004870497,0.0001103745,0.0007535642,0.00002327214],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670255,"about_ca_system_score_gemma":0.009516708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185043,"about_ca_topic_score_gemma":0.0001343191,"domain_scores_codex":[0.9935566,0.001316349,0.003110725,0.001022582,0.0004514839,0.0005423077],"domain_scores_gemma":[0.9926732,0.004464285,0.001187363,0.0006163805,0.0006300337,0.0004287923],"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":[0.0009672155,0.001722213,0.00001152471,0.00639686,0.002925314,0.000833711,0.0006900477,0.000003617876,0.000003817345,0.0006791262,0.0002401338,0.9855264],"study_design_scores_gemma":[0.002690884,0.02812289,0.000004864862,0.03420451,0.01885192,0.00009430762,0.000596877,0.000367614,0.0001220324,0.002472588,0.912029,0.0004425439],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009777064,0.9903509,0.0004168631,0.0009424672,0.001814832,0.004492699,0.0001062965,0.00003533732,0.001742806],"genre_scores_gemma":[0.00006934245,0.9934593,0.001929179,0.0001794338,0.001518495,0.0007594735,0.0002160174,0.00005476889,0.001814006],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9850839,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5304426451892652,"score_gpt":0.598056034547892,"score_spread":0.06761338935862682,"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."}}