{"id":"W1519778321","doi":"10.1111/j.1365-2966.2008.00461.x","title":"Maternal labour supply and childhood obesity in Canada: evidence from the NLSCY","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Overweight; Obesity; National Longitudinal Surveys; Causality (physics); Childhood obesity; Work (physics); Socioeconomic status; Demography; Psychology; Early childhood; Medicine; Developmental psychology; Child birth; Demographic economics; Pediatrics; Environmental health; Economics; Pregnancy; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001094389,0.0003321556,0.0006613006,0.002158688,0.003028735,0.001787936,0.001429334,0.0006416811,0.005466202],"category_scores_gemma":[0.005157565,0.0004707452,0.0009068892,0.007853563,0.0009581549,0.0003816883,0.001578403,0.001305041,0.0003204043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02421946,"about_ca_system_score_gemma":0.04190352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968065,"about_ca_topic_score_gemma":0.9974543,"domain_scores_codex":[0.9983644,0.0001943121,0.0001086353,0.0001770699,0.0006214658,0.0005340604],"domain_scores_gemma":[0.992922,0.0008900035,0.002007117,0.0002237812,0.002445015,0.001512127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001068407,0.00004050577,0.988294,0.0001414571,0.0002070349,0.0001534529,0.0006771066,0.0001139361,0.00003846165,0.0005410298,0.002920097,0.006766041],"study_design_scores_gemma":[0.00002322932,0.00001727452,0.995693,0.0002712504,0.0001323552,0.00003946408,0.001180121,0.000188905,0.00003110484,0.00008039126,0.002332572,0.00001027859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433896,0.02045505,0.0003321405,0.006353845,0.0001379824,0.00007112335,0.01817292,0.00002326745,0.01106405],"genre_scores_gemma":[0.9829612,0.01065446,0.0002092618,0.0004957512,0.00004434479,0.00002541207,0.003401857,0.00001015284,0.002197615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02421946,"threshold_uncertainty_score":0.1757253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06734739033931147,"score_gpt":0.1785210159358721,"score_spread":0.1111736255965607,"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."}}