{"id":"W2119369156","doi":"10.5858/2002-126-0165-ionccd","title":"Identification of Numerical Chromosomal Changes Detected by Interphase Fluorescence In Situ Hybridization in High-Grade Prostate Intraepithelial Neoplasia as a Predictor of Carcinoma","year":2002,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network; Ontario Institute for Cancer Research","funders":"","keywords":"Fluorescence in situ hybridization; Intraepithelial neoplasia; Chromosome instability; Prostate; Pathology; Prostate cancer; High-grade prostatic intraepithelial neoplasia; Comparative genomic hybridization; Biopsy; Carcinoma in situ; Abnormality; Context (archaeology); In situ hybridization; Aneuploidy; Biology; Cancer; Carcinoma; Medicine; Chromosome; Internal medicine; Gene; Genetics","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":[0.0004535131,0.0002582291,0.0001376398,0.0009924249,0.0002640928,0.0003117801,0.0002391051,0.0003784272,0.001251862],"category_scores_gemma":[0.00301277,0.0001242302,0.0001117207,0.000395306,0.0003982586,0.000218148,0.0002477315,0.0003347336,0.0001856512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761793,"about_ca_system_score_gemma":0.000188678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007120923,"about_ca_topic_score_gemma":0.000948723,"domain_scores_codex":[0.9997305,0.0000898439,0.00002527982,0.00005191442,0.00006367084,0.00003873554],"domain_scores_gemma":[0.9984472,0.0005825404,0.0004692225,0.00006723853,0.0001807813,0.0002530762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000214018,0.00002372442,0.9900424,0.00001605382,0.00001804069,0.000194061,0.00003921207,0.00009043403,0.007078779,0.00001023774,0.00003374696,0.002239228],"study_design_scores_gemma":[0.0000130885,0.0004076482,0.9925131,0.000005520535,0.00004113324,0.003345473,0.0001456524,0.0006844688,0.00266171,0.00002619719,0.0001513661,0.000004670139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994087,0.0001676845,0.0002428358,0.00001393313,0.000002533236,0.000004629537,0.0000219377,0.000004340996,0.0001333879],"genre_scores_gemma":[0.9997321,0.00003606652,0.0001467651,0.000004500516,0.000003746441,0.000003591952,0.00003615562,5.577617e-7,0.00003661098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251862,"threshold_uncertainty_score":0.004187942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007912376757038413,"score_gpt":0.2444301695492354,"score_spread":0.236517792792197,"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."}}