{"id":"W2343173335","doi":"10.23860/thesis-tran-holly-2016","title":"Characterizing Alternative Polyadenylation in Male Germ Cells Using Poly(A)-seq","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; National Institutes of Health; Brown University","keywords":"Polyadenylation; Cleavage and polyadenylation specificity factor; Three prime untranslated region; Untranslated region; Gene isoform; Biology; Messenger RNA; Post-transcriptional modification; Gene; Genetics; Cell biology; RNA-binding protein","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005235237,0.0004136227,0.0006751884,0.0008084983,0.000757198,0.001054545,0.0004319583,0.0005060097,0.001593538],"category_scores_gemma":[0.0006382378,0.0002735766,0.0006871629,0.0009243596,0.0003589031,0.0002998644,0.0006050582,0.001043126,0.001118481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295455,"about_ca_system_score_gemma":0.0005687331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562508,"about_ca_topic_score_gemma":0.005167888,"domain_scores_codex":[0.999529,0.00002321251,0.0000256979,0.0002232228,0.0001489994,0.00004995168],"domain_scores_gemma":[0.9995441,0.000128656,0.00008079869,0.00004303718,0.0001479709,0.00005541896],"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":[0.0002367694,0.0000381756,0.008699329,0.0005094942,0.0000874929,0.0002524516,0.0002564301,0.001054519,0.9695395,0.0006015235,0.00121438,0.01750984],"study_design_scores_gemma":[0.00006996246,0.0005215385,0.1674718,0.0002209888,0.0003973087,0.001437074,0.0006868098,0.03620849,0.7217127,0.002230449,0.06889521,0.0001477284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7367603,0.006806663,0.19474,0.0003256615,0.0003782052,0.0004523402,0.04854687,0.002575375,0.009414642],"genre_scores_gemma":[0.7311087,0.003725395,0.1954211,0.001153718,0.0001263088,0.0008144311,0.05709362,0.001414819,0.0091419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593538,"threshold_uncertainty_score":0.005330861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630104706670068,"score_gpt":0.3067942977339028,"score_spread":0.2904932506672021,"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."}}