{"id":"W2973208486","doi":"10.1002/pros.23903","title":"Functional validation of metabolic genes that distinguish Gleason 3 from Gleason 4 prostate cancer foci","year":2019,"lang":"en","type":"article","venue":"The Prostate","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Prostate Cancer Canada","keywords":"DU145; Prostate cancer; Cancer research; Gene knockdown; Cancer; Biology; Prostate; Cancer cell; Phenotype; Gene expression profiling; Gene; LNCaP; Medicine; Gene expression; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002370619,0.000189994,0.0003554603,0.00004551552,0.0001087178,0.00002629691,0.00007282827,0.00004945655,0.0007187696],"category_scores_gemma":[0.00005690219,0.0001136495,0.00002757038,0.0001482898,0.0000537025,0.0001119487,0.00004097718,0.0001336149,0.0001661229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006040962,"about_ca_system_score_gemma":0.0001963808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003821409,"about_ca_topic_score_gemma":0.00004607411,"domain_scores_codex":[0.9986214,0.00008004058,0.0002789625,0.0002713477,0.0004175052,0.0003307464],"domain_scores_gemma":[0.9989438,0.00009156698,0.0002930364,0.0003706481,0.0001573134,0.0001436145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003476038,0.0003459814,0.884471,0.0004994235,0.0007087616,0.00001209075,0.003592198,0.0001595051,0.05845521,0.0003069381,0.002223816,0.04574902],"study_design_scores_gemma":[0.00729547,0.001015485,0.848311,0.000437305,0.0007598147,0.00001254263,0.0002042771,0.0002644246,0.1080242,0.001092145,0.03234842,0.0002348832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849801,0.009911541,0.00001431041,0.001872827,0.0005520611,0.001558786,0.0003429595,0.00004462761,0.0007227786],"genre_scores_gemma":[0.9927596,0.001479514,0.0001680796,0.0003359085,0.0001973703,0.0001112782,0.0003239176,0.00003442929,0.004589867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04956904,"threshold_uncertainty_score":0.7870023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510852940824152,"score_gpt":0.3126578047321762,"score_spread":0.2675492753239347,"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."}}