{"id":"W1564744230","doi":"10.1007/bf03261932","title":"Fundamentals of Population Pharmacokinetic Modelling","year":2012,"lang":"en","type":"review","venue":"Clinical Pharmacokinetics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's & Women's Health Centre of British Columbia; University of British Columbia","funders":"","keywords":"Population; Pharmacokinetics; Context (archaeology); NONMEM; Physiologically based pharmacokinetic modelling; Terminology; Medicine; Computer science; Intensive care medicine; Pharmacology; Biology","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009129602,0.001040148,0.007285936,0.0002841155,0.00007790951,0.00003776669,0.001152719,0.001190355,0.002010758],"category_scores_gemma":[0.01987828,0.0008632683,0.002544611,0.0006788275,0.0005040525,0.00009986925,0.0005312286,0.002086656,0.000208625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276223,"about_ca_system_score_gemma":0.000122502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006278756,"about_ca_topic_score_gemma":1.880243e-7,"domain_scores_codex":[0.983573,0.004516331,0.009006326,0.001040209,0.000977359,0.0008867279],"domain_scores_gemma":[0.9065353,0.08730275,0.00399904,0.001154436,0.0003338232,0.0006746837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004322931,0.0009647366,0.00001847271,0.02381203,0.0007209809,0.000007811625,0.000009380868,0.00002382754,5.503449e-7,0.00341223,0.002396308,0.9685904],"study_design_scores_gemma":[0.00129786,0.0001700967,0.000002861633,0.006324415,0.01663846,0.00001344571,0.000002877319,0.001123421,0.000006737833,0.1051715,0.868318,0.0009303692],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001698547,0.9554203,0.03465593,0.00002024151,0.005615918,0.002370764,0.0005241159,0.0001789382,0.001196795],"genre_scores_gemma":[0.00005284596,0.7303368,0.2661351,0.0001075553,0.002752645,0.00008674423,0.00006004238,0.0002349916,0.0002332991],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9676601,"threshold_uncertainty_score":0.9993818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9077627310124843,"score_gpt":0.7051695231200288,"score_spread":0.2025932078924555,"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."}}