{"id":"W2116954864","doi":"10.1016/j.amepre.2007.07.007","title":"Associations Between Access to Food Stores and Adolescent Body Mass Index","year":2007,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":448,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Overweight; Geocoding; Obesity; Body mass index; Environmental health; Demography; Medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011816,0.0001968484,0.0009682947,0.0003826947,0.0000692101,0.00001570119,0.0002119693,0.00004028022,0.00003668501],"category_scores_gemma":[0.0006831004,0.0001480323,0.000123036,0.000619802,0.0003647079,0.0002041924,0.0001063671,0.0005316302,0.000003918623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496403,"about_ca_system_score_gemma":0.00008695055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006020908,"about_ca_topic_score_gemma":0.0000222054,"domain_scores_codex":[0.9979075,0.000143979,0.0006189073,0.0002119817,0.0007798585,0.0003377838],"domain_scores_gemma":[0.9975042,0.0004476588,0.0007893965,0.0001730642,0.0004591182,0.0006265583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001314788,0.0009249272,0.9711676,0.00002672043,0.0004394197,0.00004243826,0.0002813116,0.000001047895,0.001257237,0.00005151052,0.001835635,0.02384072],"study_design_scores_gemma":[0.001489955,0.005829976,0.9882218,0.0004894608,0.0004591432,0.00002356791,0.0005671658,0.000002309707,0.001265754,0.0008351813,0.0006876876,0.0001279603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833069,0.0001302417,0.01005547,0.005395531,0.0001669351,0.0003255268,0.00001825085,0.00001496637,0.000586137],"genre_scores_gemma":[0.9969218,0.0000323268,0.0004740666,0.0009216653,0.00152036,0.00000160734,0.000006355946,0.00002460361,0.00009717305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371276,"threshold_uncertainty_score":0.6036581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837552495324246,"score_gpt":0.3454901217915353,"score_spread":0.3171145968382929,"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."}}