{"id":"W4238019826","doi":"10.3410/f.723904484.793511238","title":"Faculty Opinions recommendation of Functional importance of telomerase pseudoknot revealed by single-molecule analysis.","year":2015,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Pseudoknot; Telomerase; Computational biology; Psychology; Chemistry; Computer science; Biology; Genetics; DNA; Base sequence","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":[0.001399259,0.001946214,0.002050128,0.002775369,0.00063287,0.00259187,0.002423505,0.002923238,0.05157464],"category_scores_gemma":[0.009446605,0.0005284265,0.001885683,0.003583258,0.0003580191,0.001263727,0.001722507,0.001604193,0.04657947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313907,"about_ca_system_score_gemma":0.002846936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572344,"about_ca_topic_score_gemma":0.04233388,"domain_scores_codex":[0.9987829,0.0001654415,0.0001536723,0.0004388898,0.0003179836,0.000140997],"domain_scores_gemma":[0.9969483,0.001023927,0.0004716553,0.0005026055,0.000689057,0.0003643865],"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":[0.0003295377,0.00003858766,0.003731962,0.002721375,0.0002051985,0.0000514417,0.00001823199,0.0003159049,0.000573776,0.0003196594,0.9858369,0.005857479],"study_design_scores_gemma":[0.0009070975,0.00007924414,0.02206148,0.001164374,0.0005038613,0.0002695073,0.00006498677,0.001211486,0.00147628,0.001705483,0.9704865,0.0000697236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004325876,0.000554154,0.00008122362,0.0001804317,0.00005079888,0.00001618364,0.9976072,0.0002320723,0.000845322],"genre_scores_gemma":[0.001518685,0.0003314497,0.0003803306,0.0002027828,0.00002328899,0.00006533919,0.9964492,0.00004387557,0.000984937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05157464,"threshold_uncertainty_score":0.1725344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459476502578447,"score_gpt":0.3497961287347839,"score_spread":0.3038484784769392,"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."}}