{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025115,0.0005947353,0.0008999115,0.001087873,0.0001496661,0.0006753805,0.0008097941,0.0008607838,0.002432613],"category_scores_gemma":[0.000797909,0.0001996417,0.0009015885,0.0007691141,0.0003250625,0.000554444,0.0005286005,0.001223212,0.0006824528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481654,"about_ca_system_score_gemma":0.0005586924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220467,"about_ca_topic_score_gemma":0.001853674,"domain_scores_codex":[0.9998176,0.00006537718,0.00002109141,0.0000264993,0.00005703941,0.00001239318],"domain_scores_gemma":[0.9997666,0.0001749522,0.000022782,0.000008172125,0.00002070068,0.000006711394],"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":[0.00007317819,0.00007195317,0.0001380615,0.02393164,0.0002715044,0.0001574515,0.00008410229,0.002184462,0.001338645,0.00723787,0.006803193,0.9577079],"study_design_scores_gemma":[0.00007627966,0.0004137032,0.001784067,0.01397281,0.0006470095,0.002884523,0.0001320744,0.002028972,0.002804145,0.01081729,0.9643785,0.000060585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003686772,0.9968746,0.0006984561,0.0001849417,0.00009290446,0.00001350454,0.00001392117,0.00001161325,0.001741293],"genre_scores_gemma":[0.005502399,0.9925845,0.0009337718,0.0002113661,0.00007353125,0.00002066114,0.00003877538,0.000004459208,0.0006304889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002432613,"threshold_uncertainty_score":0.008137882,"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."}}