{"id":"W2020884741","doi":"10.1002/sim.4193","title":"Regression models, scan statistics and reappearance probabilities to detect regions of association between gene expression and copy number","year":2011,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; University Health Network","keywords":"Covariate; Statistic; Statistics; Breast cancer; Regression; Chromosome; Regression analysis; Biology; Mathematics; Cancer; Genetics; Gene","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":[0.0003378049,0.0001241355,0.0002182602,0.00006284712,0.00005047454,0.000004542399,0.0000794187,0.0001150901,0.00001787517],"category_scores_gemma":[0.0004138093,0.0001032347,0.000007984345,0.0000938935,0.0001277614,0.000005872238,0.00006680218,0.00008946202,6.141701e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308095,"about_ca_system_score_gemma":0.00004331488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044372,"about_ca_topic_score_gemma":0.00006705659,"domain_scores_codex":[0.9989216,0.0001010526,0.0003211951,0.000293507,0.000208154,0.0001544857],"domain_scores_gemma":[0.9992597,0.00005885994,0.0001908486,0.0002280084,0.0001582955,0.0001043509],"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":[0.0006014524,0.00008494174,0.2187176,0.0004314246,0.00006908426,0.000005793973,0.005469991,0.00003757981,0.6772757,0.00993634,0.05801825,0.02935182],"study_design_scores_gemma":[0.004504072,0.00188163,0.278634,0.001757103,0.0001840191,0.00001473074,0.002075891,0.0006602958,0.5443396,0.1585034,0.006574915,0.0008702654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3801343,0.000865954,0.6163594,0.0002224862,0.0001570646,0.000485403,0.0004918179,0.00001245956,0.001271139],"genre_scores_gemma":[0.8795732,0.001335993,0.1183618,0.00005993043,0.00007838064,0.00003112476,0.000129008,0.00001554071,0.0004149518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4994389,"threshold_uncertainty_score":0.4209788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069322500756443,"score_gpt":0.3028105837693933,"score_spread":0.2721173587618289,"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."}}