{"id":"W3125999704","doi":"","title":"Linking Diet-Health Behaviour and Obesity using Propensity Score Matching","year":2014,"lang":"en","type":"article","venue":"2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Propensity score matching; Obesity; Overweight; Selection bias; Environmental health; Endogeneity; Confounding; Medicine; Matching (statistics); Body mass index; Respondent; Demography; Gerontology; Statistics; Internal medicine; Mathematics","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":[0.01410772,0.0005879452,0.0008523494,0.003717586,0.0006742461,0.001389011,0.001143261,0.001131561,0.005563413],"category_scores_gemma":[0.03565083,0.000410469,0.002381586,0.007436625,0.0005501678,0.000925291,0.001495651,0.0009445673,0.0006461922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006371663,"about_ca_system_score_gemma":0.001186318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008052639,"about_ca_topic_score_gemma":0.003618887,"domain_scores_codex":[0.9897921,0.006508155,0.00081347,0.001550567,0.0008624425,0.0004733445],"domain_scores_gemma":[0.9890047,0.005357272,0.002683939,0.002236055,0.0005162209,0.00020172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007366721,0.0004203847,0.9311518,0.0001787977,0.003741653,0.0001498954,0.0002101392,0.01297887,0.0003231239,0.005150639,0.002298525,0.04265941],"study_design_scores_gemma":[0.0004588487,0.0008402541,0.769958,0.0001734678,0.003662253,0.0005141273,0.0004540047,0.1811031,0.0009336633,0.03270921,0.009070341,0.0001227423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051722,0.001839299,0.1787477,0.001041937,0.0001974519,0.001661625,0.007666984,0.0003656848,0.003307117],"genre_scores_gemma":[0.9741806,0.0003558368,0.02012594,0.0001278012,0.00006486385,0.0005656222,0.003318941,0.00003769586,0.001222652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410772,"threshold_uncertainty_score":0.07460964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259974497546875,"score_gpt":0.2400058305078603,"score_spread":0.2140083807531727,"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."}}