{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399116,0.0005815521,0.0007981578,0.001417411,0.0002055097,0.0006916187,0.0005693606,0.0006870918,0.002870342],"category_scores_gemma":[0.0003213615,0.0002214086,0.0005032169,0.001101572,0.0003387212,0.0009102729,0.0004601394,0.001291119,0.00129283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004941991,"about_ca_system_score_gemma":0.0006962287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241775,"about_ca_topic_score_gemma":0.001236421,"domain_scores_codex":[0.9998966,0.00001620013,0.00001158864,0.00001940803,0.00004169914,0.00001450025],"domain_scores_gemma":[0.9999133,0.00003415472,0.00001496441,0.000003691983,0.00002557939,0.000008174416],"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":[0.0001037195,0.0001457105,0.0002220589,0.02760682,0.0001448931,0.000390527,0.0001090264,0.000989008,0.01122235,0.01352437,0.02255843,0.9229831],"study_design_scores_gemma":[0.00001556612,0.0001314278,0.0008108944,0.001947472,0.00009746071,0.001228272,0.00004534601,0.0001787404,0.001918201,0.002872074,0.9907371,0.00001745725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002694103,0.9974309,0.0002749976,0.000243485,0.0001427981,0.000006762609,0.00002318938,0.000007440622,0.001601138],"genre_scores_gemma":[0.001741529,0.997133,0.0002324764,0.000129213,0.00006547818,0.000007184061,0.00002709112,0.000001183789,0.0006628797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002870342,"threshold_uncertainty_score":0.009602308,"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."}}