{"id":"W4214852607","doi":"10.1093/nargab/lqac010","title":"G-quadruplex occurrence and conservation: more than just a question of guanine–cytosine content","year":2022,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Guanine; Cytosine; G-quadruplex; Content (measure theory); Chemistry; DNA; Mathematics; Biochemistry; Gene; Mathematical analysis","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":[0.0005286013,0.0001778891,0.000287369,0.00105876,0.000192962,0.0007932028,0.0002004206,0.0003298667,0.001444164],"category_scores_gemma":[0.001994645,0.0001097005,0.000173108,0.0006767861,0.0004431747,0.0007058091,0.0002752545,0.000308903,0.0005036691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598121,"about_ca_system_score_gemma":0.0001320585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005298841,"about_ca_topic_score_gemma":0.0006583281,"domain_scores_codex":[0.9996474,0.00007981535,0.0000220404,0.0001459878,0.00006846189,0.00003620316],"domain_scores_gemma":[0.9981943,0.0009007055,0.0004329706,0.0001301051,0.000198462,0.0001434105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007884388,0.00006990385,0.4523744,0.0005837358,0.0003518547,0.0002484351,0.0006275222,0.004955314,0.4929264,0.001706064,0.0006015711,0.04476646],"study_design_scores_gemma":[0.00001910049,0.0005248535,0.8508533,0.0001342297,0.0002712482,0.001225235,0.001001149,0.03459929,0.099641,0.006788059,0.004867412,0.00007523597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911582,0.00122839,0.005793555,0.00009524803,0.000008074476,0.000005575931,0.0004512819,0.0001010907,0.001158615],"genre_scores_gemma":[0.997896,0.0001120903,0.001451445,0.00002386714,0.000007771757,0.00000271251,0.0003447332,0.00001627141,0.0001452149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001444164,"threshold_uncertainty_score":0.004831195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089995656188113,"score_gpt":0.2418839903462985,"score_spread":0.2209840337844174,"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."}}