{"id":"W2485245616","doi":"10.1016/j.ymeth.2016.07.014","title":"Live-cell imaging of budding yeast telomerase RNA and TERRA","year":2016,"lang":"en","type":"article","venue":"Methods","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Telomerase; Telomere; Telomerase RNA component; Biology; Live cell imaging; Ribonucleoprotein; RNA; Telomerase reverse transcriptase; Cell biology; Saccharomyces cerevisiae; Cell; Computational biology; Genetics; Yeast; Gene","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":[0.0005103943,0.0003900347,0.0003176123,0.0003651993,0.0005529847,0.0007216721,0.001021076,0.0007146496,0.003267788],"category_scores_gemma":[0.0002334493,0.0003469381,0.0003919672,0.0003263449,0.0003679424,0.0004684555,0.0003736863,0.001379239,0.001008118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006048307,"about_ca_system_score_gemma":0.0005080311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260582,"about_ca_topic_score_gemma":0.002575241,"domain_scores_codex":[0.9998007,0.00002465502,0.00001274906,0.0000666507,0.00006280277,0.00003245298],"domain_scores_gemma":[0.9998403,0.00005875016,0.00002434324,0.00003076006,0.00002385765,0.00002201583],"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":[0.00006674199,0.00002492848,0.0001276419,0.00008294,0.000009810834,0.00005836749,0.00004658951,0.0002146631,0.9944283,0.001537897,0.0001953138,0.003206805],"study_design_scores_gemma":[0.00002242005,0.00005113037,0.001280766,0.00001497153,0.00001059733,0.000242788,0.00005309219,0.004456318,0.9864591,0.0003015753,0.007096739,0.00001038701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7747691,0.007443278,0.1962718,0.00117028,0.0003809668,0.0001373776,0.002112096,0.001505126,0.01620992],"genre_scores_gemma":[0.7574041,0.003675142,0.2064548,0.0003935591,0.00007336162,0.0003684309,0.00171371,0.0005839436,0.02933272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003267788,"threshold_uncertainty_score":0.01093185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562118729927026,"score_gpt":0.3442658974859792,"score_spread":0.3186447101867089,"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."}}