{"id":"W2304746423","doi":"10.3389/fonc.2016.00024","title":"Mechanistic Insights into Molecular Targeting and Combined Modality Therapy for Aggressive, Localized Prostate Cancer","year":2016,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Prostate cancer; Medicine; Biomarker; Radiation therapy; Disease; Targeted therapy; Precision medicine; Clinical trial; Cancer research; Cancer; Bioinformatics; Oncology; Computational biology; Internal medicine; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003525793,0.0004448629,0.002456857,0.0003714135,0.0001048184,0.00001665965,0.0001710751,0.0005609501,0.00002813723],"category_scores_gemma":[0.00019457,0.0002700022,0.0002376625,0.0002470234,0.0003077231,0.00004411086,0.00008839495,0.000387668,0.000002675018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450967,"about_ca_system_score_gemma":0.001695566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006339873,"about_ca_topic_score_gemma":0.00001070381,"domain_scores_codex":[0.9975623,0.0003837961,0.0006093241,0.000697337,0.0002030818,0.0005441231],"domain_scores_gemma":[0.9986542,0.0002263857,0.0004768325,0.0002761984,0.0001635354,0.0002028587],"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":[0.0018931,0.0001846942,0.0001015286,0.008204171,0.0005745562,0.0003945056,0.0003216033,2.83748e-7,0.00002675996,0.0001727754,0.00449922,0.9836268],"study_design_scores_gemma":[0.009453602,0.00145714,0.000003483585,0.00671518,0.0003797183,0.00001054744,0.00004140753,0.00009606395,0.00007791339,0.009918369,0.9715399,0.0003066655],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002067695,0.9907233,0.001926613,0.0006473923,0.001012525,0.005252517,0.00006538284,0.00003517465,0.0001303408],"genre_scores_gemma":[0.0001139864,0.9906716,0.004076963,0.0001529846,0.0001289785,0.003744168,0.0002750156,0.00008380043,0.0007524839],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9833201,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115892004401127,"score_gpt":0.3943940181091474,"score_spread":0.3632350980651362,"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."}}