{"id":"W2108693597","doi":"10.1002/jps.21407","title":"A population Pharmacokinetic Turnover and Surge‐Function Model for Describing Melatonin Biological Rhythm in Healthy Male Subjects","year":2008,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Melatonin; NONMEM; Pharmacokinetics; Population; Circadian rhythm; Endocrinology; Nonparametric statistics; Internal medicine; Medicine; Chemistry; Mathematics; Statistics","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":[0.001709868,0.0007527528,0.001757477,0.0004306441,0.0003464869,0.0009084854,0.001198147,0.001717267,0.002164043],"category_scores_gemma":[0.004114376,0.000684189,0.001181954,0.0004496385,0.0004360049,0.0007473718,0.0004582646,0.001402275,0.0008096521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005993264,"about_ca_system_score_gemma":0.0009136869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132774,"about_ca_topic_score_gemma":0.005255597,"domain_scores_codex":[0.9996816,0.0001263216,0.00001382084,0.00008214157,0.00003730513,0.00005878292],"domain_scores_gemma":[0.9987342,0.0009162639,0.0001166527,0.00007785539,0.0001065073,0.00004843039],"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":[0.0006657735,0.000245395,0.01162169,0.0001483872,0.0004215608,0.0008904694,0.0002727237,0.948025,0.004433796,0.00996669,0.002397293,0.02091122],"study_design_scores_gemma":[0.0000343766,0.0000724538,0.002201243,0.000005687715,0.00007113968,0.0001427498,0.000012497,0.9955847,0.0001537227,0.001450561,0.0002568825,0.00001416882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4405506,0.001234326,0.5494058,0.001265657,0.0001088518,0.0002150577,0.001923986,0.0008794721,0.00441625],"genre_scores_gemma":[0.9757317,0.0005809893,0.01298723,0.0002690966,0.00009008907,0.0002889315,0.0006712944,0.0001093305,0.009271293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0132774,"threshold_uncertainty_score":0.02640027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2198651088530918,"score_gpt":0.3676181637750138,"score_spread":0.1477530549219221,"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."}}