{"id":"W4362541177","doi":"10.1158/1538-7445.am2023-1512","title":"Abstract 1512: Evolution of large copy number variants in breast cancer through genetic network rewiring","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Gene; Genetics; Cancer; Copy-number variation; Breast cancer; Gene dosage; Comparative genomic hybridization; Triple-negative breast cancer; Computational biology; Cancer research; Chromosome; Gene expression; Genome","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":[0.0001337284,0.0002632875,0.0002816546,0.0005791374,0.0002867286,0.000562367,0.0003332384,0.0004189152,0.005648972],"category_scores_gemma":[0.0003294261,0.0001866926,0.0002484989,0.0004837252,0.0002432099,0.0002792139,0.0004794501,0.000553078,0.001191873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223319,"about_ca_system_score_gemma":0.0001984175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998949,"about_ca_topic_score_gemma":0.0007820868,"domain_scores_codex":[0.9998446,0.00001284049,0.00001053978,0.00005558257,0.00005626136,0.0000202121],"domain_scores_gemma":[0.9998504,0.00003393854,0.00004961829,0.00002546363,0.0000171562,0.00002338676],"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":[0.0001094217,0.0000162724,0.003867819,0.00007562213,0.00002395435,0.0003637043,0.00003820968,0.0006410031,0.9868125,0.0006692837,0.0003702954,0.007011817],"study_design_scores_gemma":[0.00005287761,0.0004650726,0.1903038,0.00005017374,0.0001671289,0.005872459,0.0002209719,0.01719108,0.7495284,0.002985233,0.03308969,0.00007319169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727744,0.001132845,0.01707201,0.0003538562,0.00008125274,0.0000328937,0.002230454,0.0006475066,0.005674713],"genre_scores_gemma":[0.9802266,0.0006305052,0.005225263,0.000121817,0.00002456896,0.00004070176,0.002234365,0.0001688219,0.01132747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005648972,"threshold_uncertainty_score":0.01889771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355937408127856,"score_gpt":0.3853483807543341,"score_spread":0.3497546399415485,"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."}}