{"id":"W2621682721","doi":"10.1158/1557-3265.ovcasymp16-ap12","title":"Abstract AP12: CYSTEINE METABOLISM IN CLEAR CELL OVARIAN CANCER","year":2017,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University Health Network; University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Proteomics; ARID1A; Ovarian cancer; Biology; Tissue microarray; Clear cell; Serous fluid; Cancer research; Computational biology; Gene expression profiling; Bioinformatics; Cancer; Gene; Gene expression; Genetics; Biochemistry; Carcinoma","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":[0.0001752224,0.0002522086,0.0002371523,0.0006756348,0.0002581425,0.0003970416,0.0002056267,0.0003057524,0.001230016],"category_scores_gemma":[0.0002064748,0.00008821228,0.0002068845,0.0007072995,0.0001228092,0.000167076,0.0002467205,0.0002465834,0.0003694496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750072,"about_ca_system_score_gemma":0.0002786052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225218,"about_ca_topic_score_gemma":0.002046712,"domain_scores_codex":[0.9998957,0.00001436269,0.00001143752,0.00002467672,0.00003981249,0.00001395929],"domain_scores_gemma":[0.9998202,0.00001926085,0.00004391271,0.00001203182,0.00006360918,0.00004111016],"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":[0.0005397083,0.0000255825,0.01861186,0.0002043872,0.00002872855,0.0003273275,0.00002620183,0.0001030546,0.9723575,0.00007198495,0.0003771965,0.007326461],"study_design_scores_gemma":[0.00004064353,0.0005422353,0.3801421,0.00002661861,0.00009023648,0.003727461,0.0001789723,0.001628573,0.6031329,0.0002551808,0.01021682,0.00001826059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988578,0.00523998,0.001566712,0.0002112509,0.00002670345,0.00003580822,0.002666438,0.00008078407,0.001594223],"genre_scores_gemma":[0.9913008,0.001402746,0.002404809,0.0000824958,0.00001866147,0.00001833423,0.003106889,0.00001662508,0.001648732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002225218,"threshold_uncertainty_score":0.004424512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1896733283505102,"score_gpt":0.5253544161814757,"score_spread":0.3356810878309655,"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."}}