{"id":"W2346486428","doi":"10.1158/1557-3125.advbc-b020","title":"Abstract B020: A copy number and expression based classifier for breast cancer tumors","year":2013,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Breast cancer; Classifier (UML); Copy-number variation; Computational biology; Feature selection; Microarray analysis techniques; Microarray; Computer science; Biology; Cancer; Artificial intelligence; Gene; Gene expression; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003410796,0.000204274,0.0001712073,0.00009941714,0.0002252191,0.0001268868,0.0002765159,0.0002096629,0.001286837],"category_scores_gemma":[0.00006283923,0.0001798525,0.00009582646,0.0002098885,0.0001879301,0.00001380616,0.0001263037,0.0002317277,0.00002908387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007670397,"about_ca_system_score_gemma":0.0004004793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005143593,"about_ca_topic_score_gemma":0.00004020657,"domain_scores_codex":[0.9979555,0.0001232676,0.0002313259,0.0006878728,0.0004520177,0.0005500249],"domain_scores_gemma":[0.9986095,0.00003557773,0.00007966695,0.0004817236,0.0005318693,0.0002617028],"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":[0.0001975243,0.00005385024,0.004217465,0.00008525227,0.00002240772,0.000001898227,0.00002052423,0.00005413458,0.9355429,0.00005319472,0.04623529,0.01351552],"study_design_scores_gemma":[0.001169939,0.00006662047,0.0292908,0.0001518848,0.000008762155,0.000004743091,0.000109892,0.0003321735,0.9285176,0.0002290472,0.03983405,0.0002844381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858362,0.001755383,0.003388098,0.005762459,0.0001676286,0.001346944,0.0001817652,0.00002663262,0.001534895],"genre_scores_gemma":[0.993637,0.0003364458,0.0005361544,0.000731846,0.0002343133,0.003215265,0.00006287382,0.00006046846,0.001185687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507333,"threshold_uncertainty_score":0.9996261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112807583940457,"score_gpt":0.3802498496753239,"score_spread":0.3391217738359193,"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."}}