{"id":"W4409092888","doi":"10.1002/j.2040-4603.2011.tb00384.x","title":"Insights into Biomedicine from Animal Adaptations","year":2011,"lang":"en","type":"article","venue":"Comprehensive physiology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biomedicine; Biology; Bioinformatics","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":[0.000006568078,0.0001490206,0.0002357974,0.0001119186,0.0001377403,0.00000484261,0.0002011833,0.00007938395,0.0003326552],"category_scores_gemma":[0.00007193916,0.0001301842,0.00005788079,0.0002271319,0.0004045631,0.00009724908,0.00009810273,0.0001480858,0.0007531127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798251,"about_ca_system_score_gemma":0.00003596122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890668,"about_ca_topic_score_gemma":0.000009060128,"domain_scores_codex":[0.9989458,0.0001171688,0.0001826888,0.0004481544,0.00008582797,0.0002203931],"domain_scores_gemma":[0.9991689,0.0002534664,0.00007641314,0.0003123232,0.00006550672,0.0001234473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000591804,0.00005491466,0.0000500701,0.000003254818,0.000007345186,0.00002721822,0.003353448,0.000001553689,0.9713535,0.02418826,0.0003240432,0.000577174],"study_design_scores_gemma":[0.0005659969,0.0002605571,0.3579662,0.00001285157,0.00001521267,0.000008946103,0.0003594704,0.000343913,0.6033232,0.01813179,0.01881808,0.0001939005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953381,0.0007410791,0.0002038421,0.0001142894,0.0005903931,0.0001358211,0.000009944972,0.0000935457,0.002772953],"genre_scores_gemma":[0.9970853,0.00009372761,0.0003852924,0.002092629,0.0002323435,0.00001930435,0.00001615859,0.00001597804,0.00005924763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3680304,"threshold_uncertainty_score":0.9679992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0785177223129829,"score_gpt":0.2768793150894562,"score_spread":0.1983615927764733,"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."}}