{"id":"W4403915971","doi":"10.1016/j.mbs.2024.109338","title":"We are all different: Modeling key individual differences in physiological systems","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Key (lock); Computer science; Computer security","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":[0.001149205,0.0009453952,0.0008517738,0.0004480161,0.0005625895,0.001499578,0.001498748,0.001763947,0.003837728],"category_scores_gemma":[0.00411252,0.0004060065,0.001398606,0.0004593473,0.001525801,0.003201654,0.001714455,0.00239653,0.0007324116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095772,"about_ca_system_score_gemma":0.00130159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00947736,"about_ca_topic_score_gemma":0.004142385,"domain_scores_codex":[0.9995837,0.0001793137,0.00001998724,0.00007984901,0.00008300102,0.00005409283],"domain_scores_gemma":[0.9989517,0.000576187,0.0001506363,0.0001166275,0.0001025211,0.0001023191],"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":[0.00003277447,0.0000553696,0.001894449,0.0001178837,0.00007343393,0.0001219635,0.0002799025,0.7329248,0.001004723,0.2495206,0.003113189,0.01086093],"study_design_scores_gemma":[0.00002624023,0.0000471895,0.0005802164,0.00004568357,0.00003802132,0.00006870145,0.000074089,0.8284876,0.0002444717,0.1604947,0.009861331,0.00003160066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03904215,0.001804165,0.919224,0.00944675,0.0005197779,0.0001061277,0.0005691324,0.0004058247,0.02888214],"genre_scores_gemma":[0.7964,0.00480214,0.1620375,0.002797224,0.0007189937,0.0006590072,0.000449988,0.0003261013,0.03180917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00947736,"threshold_uncertainty_score":0.01884437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422803814918851,"score_gpt":0.2961465535557074,"score_spread":0.1538661720638223,"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."}}