{"id":"W4392375149","doi":"10.1158/1538-7445.ovarian23-a040","title":"Abstract A040: Improving specificity for ovarian cancer screening using a novel extracellular vesicle-based blood test","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council","keywords":"Ovarian cancer; Extracellular vesicle; Medicine; Extracellular vesicles; Cancer; Internal medicine; Oncology; Biology; Microvesicles; Biochemistry; Cell biology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00170338,0.0004687752,0.0003425492,0.000943097,0.0002508601,0.0005541349,0.0005792999,0.0006029848,0.001340084],"category_scores_gemma":[0.002716863,0.0002065087,0.0002418036,0.0003388436,0.0003194231,0.0002210879,0.0004184136,0.0003432365,0.0004456556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118116,"about_ca_system_score_gemma":0.0005256708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004713193,"about_ca_topic_score_gemma":0.005456102,"domain_scores_codex":[0.9988167,0.0002782209,0.00006776764,0.0003071318,0.0004394667,0.00009076392],"domain_scores_gemma":[0.9991075,0.0003821934,0.0001058924,0.00005428857,0.0002829537,0.00006709864],"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":[0.002712585,0.0003479834,0.3149583,0.0002906617,0.0001829752,0.0003367997,0.0002047383,0.001334663,0.564412,0.0003354938,0.002191521,0.1126924],"study_design_scores_gemma":[0.000238583,0.003974277,0.4377718,0.000067347,0.0004169733,0.004537193,0.0001492078,0.04136394,0.5022821,0.0003150228,0.008799718,0.00008372321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977492,0.001716977,0.01678164,0.0002660745,0.00006495386,0.0002282106,0.0006735164,0.0004954741,0.002281096],"genre_scores_gemma":[0.9741036,0.0002359425,0.02364459,0.0001692117,0.00002988958,0.00007293193,0.000621959,0.00002045821,0.001101527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004713193,"threshold_uncertainty_score":0.009371459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09461480233040871,"score_gpt":0.3909556865586987,"score_spread":0.29634088422829,"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."}}