{"id":"W2756164540","doi":"10.6000/1929-4247.2017.06.03.5","title":"The Impact of Maternal Employment on Infant Weight-, Length- and BMI-for-Age Based upon WHO Growth Chart Standards","year":2017,"lang":"en","type":"article","venue":"International Journal of Child Health and Nutrition","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Chart; Growth chart; Demography; Pediatrics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007663922,0.0001987079,0.0001629319,0.0003593786,0.0001994648,0.0004521322,0.0003044777,0.0001855894,0.001579847],"category_scores_gemma":[0.002960055,0.00009805751,0.0002622573,0.0004578572,0.0001753348,0.0002276494,0.0003873971,0.0003761867,0.0001718884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996144,"about_ca_system_score_gemma":0.0005131916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008904623,"about_ca_topic_score_gemma":0.01329025,"domain_scores_codex":[0.9993371,0.0002223866,0.00005256903,0.00006186164,0.0002030153,0.0001231111],"domain_scores_gemma":[0.998064,0.000342155,0.0009369341,0.00006400437,0.0003369885,0.0002560114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005250206,0.00002485723,0.9947951,0.00001429033,0.00001392962,0.0001201176,0.0002353527,0.00002742944,0.0001044049,0.00002059293,0.0001557749,0.004435522],"study_design_scores_gemma":[5.78462e-7,0.00006491585,0.9990708,0.00002183167,0.000007328198,0.00008912975,0.0004275471,0.00006046092,0.00004797357,0.00001031163,0.0001979868,0.000001229745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975802,0.0006948763,0.00003677803,0.000217557,0.00001204383,0.000004427492,0.0002421773,0.000002457539,0.00120937],"genre_scores_gemma":[0.9989635,0.0004461164,0.00009152755,0.00002813892,0.000009728177,0.000005555295,0.0001789032,0.00000167096,0.0002748746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008904623,"threshold_uncertainty_score":0.01770562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553249859342776,"score_gpt":0.353967615790486,"score_spread":0.3384351171970582,"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."}}