{"id":"W3108011737","doi":"10.1158/1557-3265.ovcasymp18-ap17","title":"Abstract AP17: MOLECULAR AND FUNCTIONAL HETEROGENEITY OF CANCER ASSOCIATED FIBROBLASTS IN HIGH-GRADE SEROUS OVARIAN CANCER","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Ovarian cancer; Cancer-Associated Fibroblasts; Cancer research; Fibroblast activation protein, alpha; Stromal cell; Biology; Serous fluid; Cancer cell; Gene signature; Cancer; Gene expression profiling; Medicine; Pathology; Gene expression; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001729508,0.0001287092,0.000125056,0.0007787213,0.0001833769,0.0003779212,0.0001134838,0.0002299362,0.001730405],"category_scores_gemma":[0.000304462,0.00007548386,0.000148581,0.0005005186,0.0001509743,0.0001340695,0.0001687314,0.0001879807,0.0003147841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043235,"about_ca_system_score_gemma":0.00009264101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004749364,"about_ca_topic_score_gemma":0.0003412661,"domain_scores_codex":[0.9999167,0.00001483107,0.00001018969,0.00002165459,0.00001702661,0.00001966036],"domain_scores_gemma":[0.9997788,0.00005109268,0.00005803561,0.00002048233,0.00003503093,0.00005660241],"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":[0.001797545,0.00008022834,0.3300581,0.0001729389,0.00008292266,0.001677153,0.0002035995,0.0001404636,0.6537328,0.0001921044,0.0003401719,0.01152195],"study_design_scores_gemma":[0.00004526118,0.0003425522,0.933197,0.00001828284,0.00007411667,0.006894852,0.0005717216,0.0009037641,0.05464522,0.00023213,0.003062077,0.00001299935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983262,0.0007295479,0.0002742248,0.00002134025,0.000005265328,0.00000995126,0.000341386,0.000007593853,0.0002843746],"genre_scores_gemma":[0.9988322,0.0001942254,0.0002443719,0.00001439132,0.000006797804,0.00001252779,0.0004782625,0.000003107884,0.0002142323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001730405,"threshold_uncertainty_score":0.005788803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09476513747629156,"score_gpt":0.4506435567951621,"score_spread":0.3558784193188705,"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."}}