{"id":"W2143174447","doi":"10.1261/rna.1877010","title":"High-throughput quantification of splicing isoforms","year":2009,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs; Génome Québec; Genome Canada","keywords":"RNA splicing; Biology; Alternative splicing; Gene isoform; Computational biology; Protein isoform; Gene expression profiling; DNA microarray; RNA; Gene; Genetics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002114293,0.001025355,0.001176071,0.00257687,0.0008349809,0.001469188,0.0009904866,0.0009943353,0.002492605],"category_scores_gemma":[0.002039391,0.000731188,0.001015636,0.001872102,0.0005217275,0.000696689,0.0008736931,0.001826145,0.002640445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306876,"about_ca_system_score_gemma":0.0004501686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005727551,"about_ca_topic_score_gemma":0.001563267,"domain_scores_codex":[0.9971596,0.0004090516,0.0002002752,0.001001954,0.001083371,0.0001457676],"domain_scores_gemma":[0.9986185,0.0005763438,0.0001334875,0.0003022669,0.0003097858,0.00005969292],"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":[0.0001591476,0.00008389087,0.0009877291,0.0001974388,0.00007578749,0.00006167781,0.00007738463,0.001099113,0.9670157,0.0006244793,0.001072833,0.02854478],"study_design_scores_gemma":[0.00005091202,0.000216124,0.008844555,0.00005024685,0.0001378056,0.0003177752,0.00003858288,0.04342484,0.9256861,0.002324256,0.01883109,0.00007766666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1209033,0.002768754,0.8511125,0.0002568628,0.0002364889,0.0007653808,0.01376067,0.005906322,0.004289646],"genre_scores_gemma":[0.1202599,0.002534945,0.8494559,0.000256232,0.0001286493,0.002348853,0.01824169,0.0007705324,0.006003323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00257687,"threshold_uncertainty_score":0.01118159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498062681880532,"score_gpt":0.2886198254792579,"score_spread":0.2736391986604526,"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."}}