{"id":"W4293662930","doi":"10.1002/path.6006","title":"The proteome of clear cell ovarian carcinoma","year":2022,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canada's Michael Smith Genome Sciences Centre; Calgary Laboratory Services; BC Cancer Agency; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; National Cancer Institute; BC Cancer Foundation; Ovarian Cancer Canada; Terry Fox Research Institute; Canada Research Chairs; VGH and UBC Hospital Foundation","keywords":"Proteome; Ovarian carcinoma; Carcinoma; Computational biology; Biology; Pathology; Cancer research; Medicine; Oncology; Ovarian cancer; Bioinformatics; Internal medicine; Cancer","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":[0.0001796948,0.0001903429,0.0002198745,0.0006281868,0.0002666507,0.0005243559,0.0001011568,0.0002102873,0.0009754982],"category_scores_gemma":[0.0003606029,0.0001048293,0.0001878852,0.0006189983,0.0001789541,0.0002916349,0.0004711831,0.0002297399,0.0004462228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717475,"about_ca_system_score_gemma":0.000263557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008755741,"about_ca_topic_score_gemma":0.0008483014,"domain_scores_codex":[0.9998869,0.00001356388,0.0000109387,0.00003216009,0.00003535741,0.00002101192],"domain_scores_gemma":[0.9998697,0.00001871471,0.00002495053,0.00001388766,0.00004487282,0.00002791762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004842308,0.00002255567,0.04101266,0.0003216561,0.0001024519,0.0005933299,0.0002732082,0.000199296,0.9400637,0.0002225042,0.0009122255,0.01579218],"study_design_scores_gemma":[0.00003135411,0.0003605336,0.8377475,0.00006952929,0.0001337264,0.004908693,0.001073179,0.001525456,0.1231056,0.0006331895,0.03037611,0.00003507143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857832,0.007261264,0.001345431,0.0002800836,0.00004926732,0.00002574376,0.002749154,0.00003588751,0.002470067],"genre_scores_gemma":[0.98404,0.004390112,0.002577179,0.0002686194,0.00004755624,0.00003283408,0.006444668,0.00003585385,0.002163262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009754982,"threshold_uncertainty_score":0.003263354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137837706961416,"score_gpt":0.2487427080888197,"score_spread":0.2349589373926781,"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."}}