{"id":"W2591469741","doi":"10.1038/cr.2017.24","title":"Making a splash with splicing","year":2017,"lang":"en","type":"letter","venue":"Cell Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Splash; RNA splicing; Longevity; Alternative splicing; Splicing factor; Caenorhabditis elegans; Genetics; Computational biology; Gene; Messenger RNA; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007225911,0.0003396264,0.0002967918,0.0001748965,0.000532413,0.0003228429,0.001254568,0.0009576962,0.00008798233],"category_scores_gemma":[0.00007910954,0.0003040398,0.000109421,0.00006783083,0.0004277429,0.000003112988,0.0006292211,0.002169049,0.000203155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004751989,"about_ca_system_score_gemma":0.0003891705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327996,"about_ca_topic_score_gemma":0.00009981939,"domain_scores_codex":[0.9968364,0.0002056568,0.0001971425,0.000913354,0.0008287634,0.001018696],"domain_scores_gemma":[0.9975825,0.0000445603,0.0001376869,0.001782917,0.0003601655,0.00009218432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003597181,0.00002687337,0.0004784099,0.0003671478,0.00005918477,0.0004712235,0.000153003,0.000026314,0.05484153,0.000002519049,0.942863,0.0006748028],"study_design_scores_gemma":[0.0003209353,0.000326884,0.0001204748,0.0001237453,0.00002678008,0.00004972337,0.00002648177,0.0000313881,0.06467211,0.00006397936,0.9338191,0.0004183839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4431442,0.007628554,0.006800643,0.2682605,0.001884841,0.003495249,0.000182787,0.0001411821,0.2684621],"genre_scores_gemma":[0.6704817,0.001583504,0.003868876,0.1108262,0.02028277,0.00016004,0.00114495,0.0006139139,0.191038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2273375,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100546367008488,"score_gpt":0.3667570174687318,"score_spread":0.2662106504602439,"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."}}