{"id":"W2605535894","doi":"10.1002/ajhb.23009","title":"Conditional random slope: A new approach for estimating individual child growth velocity in epidemiological research","year":2017,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; SickKids Foundation; Centre for Global Health Research; Hospital for Sick Children","funders":"Wellcome Trust; Bill and Melinda Gates Foundation","keywords":"Statistics; Concordance; Random effects model; Correlation; Econometrics; Metric (unit); Mathematics; Leverage (statistics); Poisson regression; Linear regression; Longitudinal data; Medicine; Computer science; Data mining; Population","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":[0.03526025,0.002191454,0.001899124,0.003881492,0.0006300444,0.002501567,0.003839473,0.001837158,0.004716206],"category_scores_gemma":[0.09641885,0.001428592,0.004773689,0.004564459,0.001684018,0.002623404,0.002717891,0.003089313,0.001246387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231759,"about_ca_system_score_gemma":0.002249698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144147,"about_ca_topic_score_gemma":0.009394117,"domain_scores_codex":[0.9644592,0.02864796,0.0008175292,0.003906657,0.001880721,0.0002878453],"domain_scores_gemma":[0.9515681,0.0346843,0.004399478,0.007036907,0.001924833,0.00038644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001074927,0.0002569671,0.2774228,0.001529376,0.01011327,0.0005574586,0.002260404,0.1609246,0.004698277,0.157589,0.01115984,0.372413],"study_design_scores_gemma":[0.0001869128,0.001316951,0.06385724,0.000959368,0.001897065,0.001222345,0.0005516116,0.6815469,0.003391082,0.2083569,0.03623337,0.0004803578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006107013,0.0003409849,0.991192,0.0001554677,0.00009154969,0.0001279709,0.0008167045,0.0006553953,0.0005128491],"genre_scores_gemma":[0.2125388,0.0009028742,0.7787129,0.0003827443,0.0002041727,0.001864594,0.002320174,0.0007743269,0.002299412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03526025,"threshold_uncertainty_score":0.1864762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456444578440176,"score_gpt":0.4337805536717199,"score_spread":0.2881360958277023,"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."}}