{"id":"W3025061287","doi":"10.1158/1078-0432.ccr-19-1905","title":"Arginine Depletion Therapy with ADI-PEG20 Limits Tumor Growth in Argininosuccinate Synthase–Deficient Ovarian Cancer, Including Small-Cell Carcinoma of the Ovary, Hypercalcemic Type","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Centre for Advancing Health Outcomes; BC Cancer Agency; University of British Columbia","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Ovarian cancer; Cancer research; Biology; Cancer; Serous carcinoma; Ovarian carcinoma; Ovary; Clear cell carcinoma; Medicine; Internal medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900602,0.000230634,0.0003831686,0.00009572002,0.0001615737,0.00003355926,0.0006725347,0.0001530796,0.0001019285],"category_scores_gemma":[0.0004112485,0.0001579949,0.0001447908,0.0009724163,0.0003925628,0.000008881786,0.0003715555,0.0007746941,0.000009362378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496387,"about_ca_system_score_gemma":0.001429115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006917532,"about_ca_topic_score_gemma":0.003257472,"domain_scores_codex":[0.9968024,0.0005779951,0.0005026622,0.0007887674,0.0006284398,0.0006997396],"domain_scores_gemma":[0.9983947,0.0001689308,0.0001450344,0.0004851469,0.0004858313,0.0003203556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009155189,0.0007387394,0.8959457,0.0001727648,0.0001475361,0.00007862371,0.0002122385,0.0001783925,0.08575439,0.00004652289,0.002012904,0.005556997],"study_design_scores_gemma":[0.01381195,0.008066009,0.4586906,0.0003342949,0.00005179038,0.00001204562,0.0002670921,0.0006290223,0.507135,0.00006527158,0.01036778,0.0005691616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988592,0.006571144,0.00001526524,0.003181501,0.0001420696,0.0008695529,0.00009840399,0.000009018765,0.0005210382],"genre_scores_gemma":[0.9937105,0.00487989,0.00006358348,0.0005296781,0.0003529757,0.0002526264,0.00003049821,0.00005064436,0.0001295616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4372551,"threshold_uncertainty_score":0.9996955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806472035196014,"score_gpt":0.4180989622117631,"score_spread":0.2374517586921617,"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."}}