{"id":"W2260123348","doi":"10.1007/s00428-016-1904-2","title":"In prostate cancer needle biopsies, detections of PTEN loss by fluorescence in situ hybridization (FISH) and by immunohistochemistry (IHC) are concordant and show consistent association with upgrading","year":2016,"lang":"en","type":"article","venue":"Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"PTEN; Immunohistochemistry; Tensin; Fluorescence in situ hybridization; Prostate cancer; Concordance; Biology; In situ hybridization; Cancer; Pathology; Biopsy; Cancer research; Medicine; Gene; Bioinformatics; Genetics; Gene expression; PI3K/AKT/mTOR pathway","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":[],"consensus_categories":[],"category_scores_codex":[0.0005899733,0.0003272942,0.0007113222,0.0002080065,0.0001122516,0.00001832358,0.000137448,0.0001645867,0.00001152092],"category_scores_gemma":[0.0005823166,0.00020347,0.00005316551,0.0004101287,0.001066165,0.0001717728,0.0001274899,0.0004802867,0.000001086432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429769,"about_ca_system_score_gemma":0.0002874622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005840642,"about_ca_topic_score_gemma":0.0001182549,"domain_scores_codex":[0.9976931,0.0002147517,0.0005442217,0.0006469312,0.0003406638,0.0005602949],"domain_scores_gemma":[0.9983618,0.0006249402,0.0003994062,0.0002971594,0.0001408189,0.000175928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009269863,0.0001926738,0.2375519,0.0001709851,0.000140082,0.0001178269,0.0004549899,0.000003484711,0.7555063,0.00001782636,0.001212458,0.003704407],"study_design_scores_gemma":[0.01627755,0.001770449,0.1817419,0.002522048,0.0003878125,0.00006910485,0.002648101,0.0002888838,0.7918577,0.0005542593,0.001168487,0.0007138096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866049,0.006975484,0.00006213695,0.004946311,0.00006662276,0.0007704305,0.0003015698,0.00004034833,0.0002322386],"genre_scores_gemma":[0.9820203,0.01659923,0.0002673994,0.0002599751,0.0000381596,0.0001572253,0.0001383342,0.00002819996,0.0004911411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05581009,"threshold_uncertainty_score":0.8297266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430478099783757,"score_gpt":0.3220447179494752,"score_spread":0.3077399369516376,"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."}}