{"id":"W4316362310","doi":"10.1186/s13048-022-01086-x","title":"Predicting chemoresponsiveness in epithelial ovarian cancer patients using circulating small extracellular vesicle-derived plasma gelsolin","year":2023,"lang":"en","type":"article","venue":"Journal of Ovarian Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Ottawa Hospital; St. Francis Xavier University; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; Ottawa Hospital Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Gelsolin; Medicine; Extracellular vesicles; Ovarian cancer; Extracellular vesicle; Microvesicles; Extracellular; Reproductive medicine; Internal medicine; Cancer; Cancer research; Pathology; Endocrinology; Oncology; Andrology; Chemistry; Biology; Cell biology; Actin; Biochemistry; Pregnancy; Gene","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":[0.0002759821,0.0002096481,0.0002482495,0.0006016495,0.0001356287,0.0003650864,0.0001086153,0.0002924655,0.0006788708],"category_scores_gemma":[0.0007291565,0.00009676976,0.0002027496,0.000303206,0.0001440851,0.0001988888,0.000219463,0.0002731117,0.0001351158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831869,"about_ca_system_score_gemma":0.0000998029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051736,"about_ca_topic_score_gemma":0.0005111405,"domain_scores_codex":[0.9998993,0.00002066884,0.00001490112,0.0000298372,0.00002122988,0.00001406465],"domain_scores_gemma":[0.9996154,0.0001020956,0.0001576455,0.00001604926,0.00005104337,0.0000577054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001079207,0.00005017899,0.9580526,0.00007253814,0.00005395082,0.0001802366,0.0001151707,0.0003508758,0.02624502,0.00002594404,0.0001990782,0.01357535],"study_design_scores_gemma":[0.000034046,0.0009058728,0.9796299,0.00002978956,0.000100772,0.00220367,0.0002651951,0.003110442,0.01240304,0.0001073008,0.001197879,0.00001221063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981326,0.0009502526,0.0003241622,0.0000413204,0.00000658179,0.0000160169,0.000143001,0.00001963787,0.000366467],"genre_scores_gemma":[0.9989896,0.0001809654,0.0004941936,0.00002210342,0.000006137424,0.00001030409,0.0001832016,0.000002089263,0.0001113849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006788708,"threshold_uncertainty_score":0.002271056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06799704306058307,"score_gpt":0.3543625679505081,"score_spread":0.2863655248899251,"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."}}