{"id":"W2481283504","doi":"10.4018/978-1-60566-076-9.ch015","title":"Alternative Isoform Detection Using Exon Arrays","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Exon; Polyadenylation; Alternative splicing; Biology; Gene isoform; Computational biology; Genetics; Locus (genetics); RNA splicing; Human genome; Genome; Gene; Microarray; Messenger RNA; Gene expression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006709094,0.0005001521,0.0004050429,0.001173743,0.0002604336,0.001043912,0.001109058,0.0009425266,0.007635905],"category_scores_gemma":[0.0004725285,0.0004482186,0.0003059437,0.001159526,0.0003464258,0.001195015,0.0006774117,0.001213385,0.007512491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108152,"about_ca_system_score_gemma":0.0001437277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300011,"about_ca_topic_score_gemma":0.000650761,"domain_scores_codex":[0.9994848,0.00006979543,0.00002952144,0.0001952854,0.0001906201,0.0000299755],"domain_scores_gemma":[0.9996313,0.0001927909,0.00002041307,0.00005290588,0.0000848138,0.00001776655],"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":[0.00006669194,0.00002219537,0.0004669008,0.0002423554,0.00001970374,0.0002066906,0.000109319,0.0006594171,0.8302735,0.0140186,0.008828059,0.1450866],"study_design_scores_gemma":[0.00001325837,0.0000781561,0.002063075,0.00007973089,0.00003453758,0.00201154,0.00008337465,0.008977758,0.6729593,0.01502399,0.2986156,0.00005966763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02897379,0.01355518,0.8836828,0.0009085011,0.0008049933,0.000123427,0.002733989,0.005435851,0.06378132],"genre_scores_gemma":[0.07969046,0.01291152,0.7989774,0.001194763,0.0002951312,0.0003030166,0.003557916,0.0009222532,0.1021476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007635905,"threshold_uncertainty_score":0.02554458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197862867599303,"score_gpt":0.2334206274435912,"score_spread":0.2214419987675982,"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."}}