{"id":"W4241696790","doi":"10.1200/jco.2019.37.7_suppl.509","title":"Whole genome and transcriptome analysis (WGTA) of metastatic adrenocortical carcinoma (mACC).","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"CDKN2A; Copy number analysis; Transcriptome; Genetics; Exon; Copy-number variation; Gene; Biology; BAP1; Cancer research; Medicine; Genome; Gene expression","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":[0.0001424842,0.0002029906,0.0002306883,0.0004299329,0.0002443753,0.0002727643,0.0001272151,0.0002334664,0.0008873449],"category_scores_gemma":[0.00021691,0.0001021303,0.0004466921,0.0004899412,0.00009694581,0.00009526926,0.00020604,0.0002515314,0.0003182928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693098,"about_ca_system_score_gemma":0.0001735895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244644,"about_ca_topic_score_gemma":0.002586027,"domain_scores_codex":[0.9999089,0.000009770323,0.000005344421,0.0000370825,0.00002468639,0.00001414943],"domain_scores_gemma":[0.999909,0.00001851015,0.00002335755,0.00001656459,0.00001635496,0.00001621232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005169476,0.00005481951,0.0392851,0.0001849968,0.0001936521,0.0004369919,0.000117637,0.0007279532,0.942713,0.00008196299,0.0008073865,0.0148795],"study_design_scores_gemma":[0.00003949311,0.0003852012,0.8861513,0.00001968069,0.0002903182,0.002942644,0.0002181234,0.005573585,0.09409265,0.0003123479,0.009955709,0.00001904393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816744,0.001198205,0.004285013,0.0001004517,0.00001912839,0.00003352539,0.01157558,0.0001243953,0.0009893089],"genre_scores_gemma":[0.9546793,0.0008663391,0.009940346,0.0001823256,0.00001608782,0.0000912709,0.03233401,0.0001136212,0.001776714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244644,"threshold_uncertainty_score":0.002968431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.089101991097599,"score_gpt":0.4287617434063802,"score_spread":0.3396597523087812,"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."}}