{"id":"W2282406933","doi":"10.1016/j.ymeth.2016.01.006","title":"Imaging single mRNAs to study dynamics of mRNA export in the yeast Saccharomyces cerevisiae","year":2016,"lang":"en","type":"article","venue":"Methods","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Saccharomyces cerevisiae; Messenger RNA; Yeast; Biology; Gene expression; Cell biology; Translation (biology); RNA; Transcription (linguistics); Computational biology; Gene; Genetics","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":[0.0003174852,0.0003014314,0.0002773876,0.0002900884,0.0003211189,0.0005406554,0.000559182,0.000544935,0.000978935],"category_scores_gemma":[0.0003409565,0.00035736,0.0002200534,0.0002663014,0.0003345601,0.0004218237,0.0003610129,0.000826449,0.0002574589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358458,"about_ca_system_score_gemma":0.0003632317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126756,"about_ca_topic_score_gemma":0.003461275,"domain_scores_codex":[0.9998882,0.000009491531,0.000007538857,0.00003502644,0.00004069482,0.00001918538],"domain_scores_gemma":[0.9997619,0.0001100863,0.00003516274,0.00003232061,0.00002630415,0.00003418435],"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":[0.00004976521,0.00001856344,0.0003572115,0.0000509558,0.000006087526,0.00003732058,0.00003221567,0.0007374497,0.9936148,0.0008863925,0.0001254041,0.004083957],"study_design_scores_gemma":[0.00003032515,0.00006401103,0.002951737,0.00001034627,0.00001075878,0.0002199619,0.00007967995,0.01763251,0.9755121,0.0006253856,0.002847246,0.00001582671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9154043,0.001950983,0.07845354,0.0005847274,0.0001123298,0.00004605698,0.0005717637,0.0003222023,0.002554325],"genre_scores_gemma":[0.9307596,0.00199571,0.06297932,0.000187101,0.00003069925,0.00009301817,0.0002798985,0.0002005039,0.003474107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002126756,"threshold_uncertainty_score":0.006064534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129103080462235,"score_gpt":0.3771104030362855,"score_spread":0.3458193722316631,"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."}}