{"id":"W3174298791","doi":"10.1103/physreve.105.034411","title":"Promoter methylation in a mixed feedback loop circadian clock model","year":2022,"lang":"en","type":"article","venue":"Physical review. E","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DNA methylation; Circadian clock; Circadian rhythm; Epigenetics; Methylation; Biology; Promoter; Computer science; Genetics; Computational biology; Gene; Neuroscience; Gene expression","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":[0.0003126942,0.0005368272,0.00071526,0.000340294,0.0003016554,0.0006893654,0.001315739,0.0007883245,0.003092021],"category_scores_gemma":[0.0009418381,0.0002343136,0.0006522593,0.0002744675,0.0007070912,0.0005881268,0.0006847656,0.0006001307,0.0003729648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944752,"about_ca_system_score_gemma":0.000657663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004327621,"about_ca_topic_score_gemma":0.002193756,"domain_scores_codex":[0.9998143,0.00004832167,0.000006726542,0.0000550565,0.0000417673,0.00003394022],"domain_scores_gemma":[0.9996974,0.0001243522,0.00006302871,0.00002166697,0.00005667244,0.00003681836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001528029,0.00006153263,0.0009648097,0.0001122105,0.00006415844,0.0003227408,0.000225211,0.7928922,0.02427328,0.1733363,0.0009239499,0.006670793],"study_design_scores_gemma":[0.00002978572,0.00003325259,0.0001761069,0.000003472041,0.00001496907,0.00002457703,0.00001239525,0.9780055,0.0005352583,0.02059294,0.0005606868,0.00001115498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3662211,0.0006569583,0.6068373,0.00148711,0.0001344391,0.0000778246,0.0007339891,0.0004602895,0.0233911],"genre_scores_gemma":[0.9738259,0.0002580053,0.01435562,0.0001357901,0.00004058824,0.0001219508,0.0001409993,0.00003836823,0.01108283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004327621,"threshold_uncertainty_score":0.01034385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290525498176961,"score_gpt":0.3201633752719962,"score_spread":0.2772581202902266,"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."}}