{"id":"W2144040380","doi":"10.1158/0008-5472.can-08-1769","title":"Identification of Alternative Splicing Markers for Breast Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Alternative splicing; RNA splicing; Breast cancer; Cancer; Biology; Disease; Gene; Cancer research; Transcriptome; Computational biology; Bioinformatics; Gene expression; Medicine; Genetics; Pathology; Exon; RNA","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":[],"consensus_categories":[],"category_scores_codex":[0.0006347192,0.00007129521,0.0001036192,0.0001015949,0.0001833988,0.00001251277,0.0002591973,0.00005938505,0.00006366728],"category_scores_gemma":[0.0001110365,0.00006640802,0.00006228921,0.0001855286,0.0002208947,0.000006180542,0.00008861622,0.0001180385,0.000003010222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007486896,"about_ca_system_score_gemma":0.0003220725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215486,"about_ca_topic_score_gemma":0.0001919233,"domain_scores_codex":[0.9987547,0.00007761517,0.0001779055,0.0002870194,0.0003405028,0.0003622994],"domain_scores_gemma":[0.9989008,0.00003852098,0.00005672792,0.0002485948,0.0006626362,0.00009270525],"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":[0.0004377591,0.00002211032,0.004147251,0.00006008698,0.0000557873,0.000001356589,0.00005964037,0.0001477964,0.9828936,0.00004724786,0.005311254,0.006816069],"study_design_scores_gemma":[0.000541336,0.0001187476,0.01527192,0.00004457546,0.000003759761,0.000007775572,0.00011572,0.0006488794,0.9813209,0.00005122833,0.001784955,0.00009024781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969693,0.0008192214,0.0009563384,0.0004035362,0.0000742542,0.0004108618,0.0002205134,0.00000359264,0.0001423706],"genre_scores_gemma":[0.9913671,0.002267234,0.00004698199,0.00002677071,0.0003230094,0.0003825567,0.00001703983,0.00001962987,0.005549646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112467,"threshold_uncertainty_score":0.270804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537725039381674,"score_gpt":0.411015538382375,"score_spread":0.3556382879885583,"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."}}