{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005518771,0.000123561,0.0001279889,0.0001383133,0.0004724592,0.0002150687,0.0004510904,0.00005097638,0.000007170383],"category_scores_gemma":[0.000545778,0.00009109075,0.00003075324,0.0008963313,0.0003390108,0.0002791489,0.0001181721,0.0002701865,0.00001708202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004158679,"about_ca_system_score_gemma":0.00009701804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111491,"about_ca_topic_score_gemma":0.00008000085,"domain_scores_codex":[0.9985184,0.0001360399,0.000170536,0.0005281561,0.0002445298,0.0004023408],"domain_scores_gemma":[0.9992429,0.0003271922,0.0000485989,0.0002884682,0.0000137553,0.0000790762],"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":[0.00002830202,0.0002067824,0.1520325,0.00008329433,0.000005005144,0.0008899097,0.01991526,0.0006777612,0.4335536,0.3424758,0.0008263516,0.04930542],"study_design_scores_gemma":[0.0003645333,0.00002760245,0.9307499,0.0001122111,0.000009900063,0.0002696675,0.0005088363,0.006418545,0.05413971,0.0004749796,0.006711932,0.0002121734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876105,0.0006060952,0.0005035715,0.002254727,0.0002583515,0.0002284422,0.000006127721,0.00004326024,0.008488965],"genre_scores_gemma":[0.9973053,0.00004209507,0.00007736682,0.002037244,0.00003244849,0.0000177067,3.580711e-7,0.000004445886,0.0004830718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7787174,"threshold_uncertainty_score":0.3714573,"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."}}