{"id":"W3125247993","doi":"10.3390/cancers13030430","title":"Effective Prediction of Prostate Cancer Recurrence through the IQGAP1 Network","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; St. Joseph's Hospital","funders":"Canadian Cancer Society; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Prostate cancer; DU145; Tramp; PTEN; LNCaP; Medicine; Oncology; Biochemical recurrence; Gene signature; Cancer research; Cancer; Internal medicine; Biology; Prostatectomy; Gene; Gene expression; Signal transduction; PI3K/AKT/mTOR pathway","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":[0.0003952685,0.0002995575,0.0003744976,0.0009925304,0.0002222786,0.0004944977,0.0002340811,0.0001827963,0.0008611361],"category_scores_gemma":[0.0007583235,0.00009833692,0.0003453268,0.0006935188,0.0001555863,0.0001838405,0.0004850409,0.0002802794,0.0002396019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103355,"about_ca_system_score_gemma":0.000418413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738065,"about_ca_topic_score_gemma":0.002943279,"domain_scores_codex":[0.9998043,0.00004621264,0.000008286624,0.00006379997,0.00003891235,0.00003851311],"domain_scores_gemma":[0.9997242,0.00009491681,0.00007645992,0.00002000512,0.00004088213,0.00004347055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044944,0.0001766773,0.8891177,0.00009343713,0.0002621209,0.0001598933,0.0000792896,0.01131235,0.03637287,0.0002477931,0.001245981,0.059887],"study_design_scores_gemma":[0.00003564026,0.000534702,0.8830444,0.00002533305,0.0002925782,0.0004718675,0.0002178815,0.1027932,0.009500055,0.001174909,0.00188192,0.00002756993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947879,0.0002673096,0.002385389,0.00008633055,0.000004150419,0.00001602949,0.001808997,0.00004817214,0.0005958401],"genre_scores_gemma":[0.9944071,0.000105554,0.002039374,0.00003437692,0.000007443357,0.00001994451,0.003089463,0.000007801063,0.0002890087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001738065,"threshold_uncertainty_score":0.003455937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766189874888731,"score_gpt":0.3367257389326205,"score_spread":0.3090638401837332,"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."}}