{"id":"W7097832296","doi":"","title":"www.mdpi.com/journal/ijerph Article The Influence of Local Food Environments on Adolescents’ Food Purchasing Behaviors","year":2012,"lang":"en","type":"article","venue":"","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Logistic regression; Multilevel model; Regression analysis; Food safety; Food products; Consumer behaviour","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001808257,0.0001417552,0.0001254576,0.0003288522,0.0002330443,0.0005112111,0.0001674652,0.0002049516,0.03582674],"category_scores_gemma":[0.0007594809,0.00007313527,0.0001168055,0.0003280625,0.0002084269,0.0002080235,0.0002464745,0.0001718135,0.002788262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689812,"about_ca_system_score_gemma":0.0006618961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113643,"about_ca_topic_score_gemma":0.0248792,"domain_scores_codex":[0.9998984,0.00002195122,0.000004434675,0.00001720831,0.00003497089,0.00002308756],"domain_scores_gemma":[0.999686,0.0001012506,0.00008017861,0.00001343429,0.00003949001,0.00007968867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352529,0.0008908164,0.8744039,0.0003366345,0.0001234203,0.0008260687,0.0009838408,0.0001865016,0.002427167,0.0002972495,0.004830305,0.1144588],"study_design_scores_gemma":[0.00000989299,0.0001271226,0.993255,0.0000784389,0.00005563833,0.0006305708,0.0005024332,0.0001926553,0.0007866488,0.0001591388,0.004198484,0.000003958889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699718,0.002840659,0.0004401509,0.000833124,0.0000511299,0.00002420253,0.001051739,0.00002682227,0.02476051],"genre_scores_gemma":[0.9888034,0.001695078,0.0006137415,0.0001557086,0.00006183183,0.00001730415,0.0003252201,0.00001055631,0.008316944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03582674,"threshold_uncertainty_score":0.1198524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731030321212801,"score_gpt":0.2556208334833127,"score_spread":0.2383105302711847,"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."}}