{"id":"W3022742848","doi":"10.1016/j.humpath.2020.02.006","title":"Proteomic analysis of transitional cell carcinoma–like variant of tubo-ovarian high-grade serous carcinoma","year":2020,"lang":"en","type":"article","venue":"Human Pathology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Centre for Advancing Health Outcomes; Vancouver General Hospital; University of British Columbia","funders":"National Cancer Institute; Terry Fox Foundation; Cancer Research UK; Memorial Sloan-Kettering Cancer Center","keywords":"Biology; Serous carcinoma; Proteomics; Proteome; Ovarian carcinoma; Serous fluid; Immunohistochemistry; Clear cell carcinoma; Tissue microarray; Cancer research; Pathology; Ovarian cancer; Carcinoma; Cancer; Bioinformatics; Medicine; Immunology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001212047,0.0002256674,0.0009780264,0.0002936079,0.0000581974,0.000004483671,0.0001258515,0.0001558713,0.0009478884],"category_scores_gemma":[0.000008234826,0.0002059248,0.0003521857,0.0005244309,0.0001599844,0.00003261873,0.00003587122,0.0001728572,0.00001176888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007420633,"about_ca_system_score_gemma":0.0001540343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000535391,"about_ca_topic_score_gemma":0.00004848556,"domain_scores_codex":[0.9982728,0.0001307217,0.0005758541,0.0005054089,0.0002476219,0.0002675409],"domain_scores_gemma":[0.9990126,0.00003750774,0.0002385751,0.0004167506,0.0001151329,0.0001794574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007832686,0.003098676,0.6587061,0.0008931284,0.002294715,0.005681857,0.007277369,0.0004806567,0.3094548,0.01011709,0.0008726697,0.0003396464],"study_design_scores_gemma":[0.004680154,0.001629536,0.9545478,0.00002057245,0.004260336,0.00009149715,0.00008694833,0.0002459408,0.03408568,0.0001350145,0.00005102818,0.0001655203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957777,0.0001852342,0.0004418933,0.001995034,0.00006601882,0.0005420457,0.0003495514,0.00002564947,0.0006168361],"genre_scores_gemma":[0.9970917,0.000008776872,0.001685407,0.0005694283,0.0001228563,0.00007885256,0.0003627331,0.00002843354,0.00005179135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958417,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698344464334627,"score_gpt":0.2547649450757206,"score_spread":0.2277815004323743,"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."}}