{"id":"W7117717614","doi":"10.1016/j.isci.2025.114587","title":"Circadian ADCY3 Ser107Pro variant bridges difficulty awakening in the morning and adiposity","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"German Academic Exchange Service; National Heart, Lung, and Blood Institute; National Institutes of Health; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Badminton World Federation; Alexander von Humboldt-Stiftung; American Academy of Sleep Medicine; National Human Genome Research Institute; Bundesministerium für Bildung und Forschung; Burroughs Wellcome Fund","keywords":"Circadian rhythm; Morning; Adipose tissue; Allele; Transcriptome; Circadian clock; Missense mutation; Pleiotropy; Obesity","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":[0.0001409302,0.0003996978,0.0003968879,0.0002813814,0.0002475721,0.0004162512,0.0001908459,0.0004320279,0.004106888],"category_scores_gemma":[0.0006558854,0.0001460116,0.0003652679,0.0002583688,0.0002667585,0.0001852201,0.000328413,0.0006583431,0.0003483033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777692,"about_ca_system_score_gemma":0.0001909164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003971713,"about_ca_topic_score_gemma":0.00576073,"domain_scores_codex":[0.999886,0.00001451313,0.00000987867,0.0000472114,0.00001633731,0.00002598846],"domain_scores_gemma":[0.9996883,0.00004270834,0.0001567258,0.00003455752,0.00002389551,0.00005380378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02427265,0.0005098257,0.4687213,0.00035372,0.001092359,0.002708727,0.0008472003,0.0006111346,0.4442666,0.0007795507,0.004401457,0.05143553],"study_design_scores_gemma":[0.00005281496,0.0002453976,0.9892821,0.00002451619,0.0001609025,0.000691851,0.0002054296,0.0004095453,0.007047807,0.0004253577,0.001434649,0.0000195476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958879,0.0006866424,0.0008529127,0.0002096677,0.00008054629,0.0000078486,0.001174033,0.00005666853,0.001043917],"genre_scores_gemma":[0.9969923,0.0001753737,0.00035512,0.00009818582,0.00002949825,0.00001807841,0.0006170799,0.00003860573,0.001675735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004106888,"threshold_uncertainty_score":0.01373887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149014091318816,"score_gpt":0.2616117722745122,"score_spread":0.240121631361324,"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."}}