{"id":"W4282934146","doi":"10.1158/1538-7445.am2022-1155","title":"Abstract 1155: cBioPortal for cancer genomics","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Bioconductor; Genomics; Library science; Medicine; Data science; Computer science; Genome; Biology; 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":[0.002739287,0.00203153,0.00286155,0.009235756,0.001257596,0.004574418,0.005698964,0.002475838,0.1189329],"category_scores_gemma":[0.009416098,0.00141331,0.001874971,0.01239819,0.0004557508,0.002894308,0.00530019,0.003461041,0.1234271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772153,"about_ca_system_score_gemma":0.003711493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007050219,"about_ca_topic_score_gemma":0.007960493,"domain_scores_codex":[0.9979912,0.0004295512,0.0002533423,0.0004452589,0.0006007577,0.0002799108],"domain_scores_gemma":[0.9963123,0.0009613658,0.0003015591,0.001112583,0.0007450719,0.0005670806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001261595,0.00001366802,0.0004561518,0.00147782,0.00009210385,0.00008703609,0.00006838595,0.0007153879,0.0009134008,0.004146473,0.977964,0.01393931],"study_design_scores_gemma":[0.0002078733,0.00001988001,0.001452098,0.0004733143,0.0001107586,0.0002580357,0.00004163317,0.002534721,0.001725874,0.01511816,0.9779914,0.00006615501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007548568,0.002812451,0.0160894,0.001100517,0.0003848229,0.0002089528,0.8973591,0.06759132,0.01369857],"genre_scores_gemma":[0.002952609,0.0009109861,0.01219743,0.0005165487,0.00008656294,0.000489365,0.9713397,0.009063625,0.002443191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1189329,"threshold_uncertainty_score":0.3978703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237915269810959,"score_gpt":0.3787754107327689,"score_spread":0.3263962580346593,"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."}}