{"id":"W2003976654","doi":"10.1089/omi.2006.10.344","title":"Microarray Analysis of Alternative Splicing","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Cancer Research Institute","funders":"","keywords":"Alternative splicing; RNA splicing; DNA microarray; Computational biology; Biology; Exon; Proteomics; Microarray analysis techniques; Genetics; Precursor mRNA; splice; Gene; RNA; Gene expression","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":[0.0006848525,0.0003980895,0.002488914,0.000985681,0.00003936561,0.00001732777,0.0006689089,0.0004415182,0.00001721081],"category_scores_gemma":[0.0003842605,0.0002434181,0.001776164,0.0005812477,0.0002565349,0.000004135262,0.0001300718,0.0005458057,0.000001793074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002708,"about_ca_system_score_gemma":0.0004941222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332812,"about_ca_topic_score_gemma":0.000123744,"domain_scores_codex":[0.9975083,0.0004771006,0.001254296,0.0003270658,0.000130934,0.0003023009],"domain_scores_gemma":[0.9966574,0.0001722927,0.002054376,0.000307899,0.0007077266,0.0001003172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003535617,0.0003214593,0.0005695696,0.001304428,0.03603281,0.00005902177,0.0001524917,0.0001203878,0.2276393,0.002078043,0.001971974,0.7293969],"study_design_scores_gemma":[0.0004290864,0.001485305,0.00001761146,0.001668448,0.003951234,0.0001264724,0.0001186303,0.00006066116,0.01221027,0.00008692734,0.9794242,0.0004211316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009146873,0.9830039,0.006748417,0.00001112527,0.0001908203,0.0001819384,0.000265874,0.000001235114,0.0004498227],"genre_scores_gemma":[0.001052152,0.9963857,0.001145283,0.00002198609,0.000335424,0.000006040737,0.0003977687,0.00003023674,0.000625409],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9774522,"threshold_uncertainty_score":0.9926303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277475818421423,"score_gpt":0.3657918816092714,"score_spread":0.3380442997671291,"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."}}