{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003796332,0.0006055895,0.0007958952,0.0003091826,0.001861586,0.002843975,0.001093857,0.009676945,0.005671406],"category_scores_gemma":[0.01087174,0.0004303714,0.0008187988,0.0002741605,0.004645719,0.003883023,0.002004341,0.01495495,0.003905048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009743148,"about_ca_system_score_gemma":0.0008144819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002801893,"about_ca_topic_score_gemma":0.0005196443,"domain_scores_codex":[0.9984602,0.0003965296,0.0001584551,0.0002812315,0.0005249042,0.0001787451],"domain_scores_gemma":[0.9963069,0.002143878,0.0002470793,0.0006796201,0.0002729548,0.000349676],"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":[0.0009424474,0.0002759917,0.001733785,0.000363137,0.0001258598,0.005578773,0.0005982707,0.000898315,0.02811321,0.2537182,0.5461972,0.1614548],"study_design_scores_gemma":[0.000254173,0.000223796,0.0002964665,0.00008972828,0.00004416406,0.002919734,0.0002450744,0.001028447,0.0196294,0.1537968,0.8214198,0.00005228226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009187856,0.02051679,0.01442842,0.8803166,0.05572041,0.00005741498,0.0001284007,0.0004983053,0.01914589],"genre_scores_gemma":[0.1789954,0.02758827,0.02107969,0.6549665,0.06060221,0.0002748912,0.0002892442,0.0004797678,0.05572401],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009676945,"threshold_uncertainty_score":0.02007723,"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."}}