{"id":"W1935988403","doi":"10.1016/j.sste.2015.09.001","title":"Comparing children’s GPS tracks with geospatial proxies for exposure to junk food","year":2015,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Geospatial analysis; Proxy (statistics); Misrepresentation; Global Positioning System; Junk food; Exposure assessment; Environmental health; Geography; Environmental science; Computer science; Cartography; Medicine","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":[0.002184544,0.0002570023,0.0007410477,0.00008656275,0.0004683103,0.00004158067,0.0002688974,0.0002343256,0.00003679965],"category_scores_gemma":[0.0008822369,0.0002014213,0.00009165017,0.0001700505,0.0004431589,0.0002607509,0.00004334203,0.0001932979,0.000006355288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006578994,"about_ca_system_score_gemma":0.0002909351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04193471,"about_ca_topic_score_gemma":0.3210275,"domain_scores_codex":[0.9975088,0.0004046396,0.0006161698,0.0006040416,0.0002238111,0.0006425756],"domain_scores_gemma":[0.9984301,0.0003319934,0.0002649857,0.0002215693,0.0002348227,0.0005165229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005129384,0.00006705577,0.9873567,0.00001855704,0.00003738482,9.58127e-7,0.003761108,0.0001229319,0.000001432228,0.002568204,0.000870906,0.004681881],"study_design_scores_gemma":[0.001619272,0.002241594,0.9748651,0.0000323445,0.00005598949,0.000001539435,0.0007149184,0.0004597928,0.00003373955,0.01041521,0.00912198,0.0004385061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965549,0.0002702483,0.02742112,0.004313137,0.0003567048,0.00132931,0.00006010858,0.000120669,0.0005797133],"genre_scores_gemma":[0.9931626,0.000007683903,0.0048675,0.0004877984,0.0008691708,0.0001772051,0.0002298469,0.00002021053,0.0001779248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790928,"threshold_uncertainty_score":0.9644451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08575169395660014,"score_gpt":0.3273206714734022,"score_spread":0.2415689775168021,"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."}}