{"id":"W1542612444","doi":"10.17269/cjph.105.4541","title":"Foodscapes of southern Ontario: Neighbourhood deprivation and access to healthy and unhealthy food retail","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Public Health Ontario; Janeway Children's Health and Rehabilitation Centre; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Census tract; Zoning; Geography; Census; Unhealthy food; Urbanization; Socioeconomics; Demography; Environmental health; Inequality; Medicine; Economic growth; Sociology; Population; Political science; Obesity; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003990569,0.0002314636,0.0003824698,0.001057726,0.003726501,0.002073511,0.001021924,0.0005219163,0.005446546],"category_scores_gemma":[0.002583107,0.0003994406,0.0006737389,0.004246484,0.00102007,0.0007395063,0.001697571,0.0005470894,0.0004730972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01924707,"about_ca_system_score_gemma":0.0216973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935712,"about_ca_topic_score_gemma":0.9984681,"domain_scores_codex":[0.9993363,0.0000595521,0.00004932826,0.00009562022,0.0002168344,0.000242411],"domain_scores_gemma":[0.9973429,0.0001559692,0.0007475741,0.00008973384,0.000823422,0.0008403647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001351986,0.00003123043,0.9861498,0.00005035266,0.00007668453,0.0001868211,0.007556458,0.0001248966,0.000193706,0.0003303838,0.001860793,0.003303728],"study_design_scores_gemma":[0.000004420702,0.000009453116,0.9916448,0.00003156967,0.00001335642,0.00003323944,0.006912873,0.00008772055,0.0000191295,0.00005121088,0.0011832,0.000009028161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916747,0.0003722695,0.00007019382,0.0005681767,0.00001398511,0.00001977551,0.002840014,0.000006399658,0.004434474],"genre_scores_gemma":[0.9959393,0.0002414045,0.00007362724,0.00007467766,0.000006368131,0.00001612312,0.0007224194,0.000007150417,0.002918955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924707,"threshold_uncertainty_score":0.1396479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06549491818753281,"score_gpt":0.2918835129539635,"score_spread":0.2263885947664307,"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."}}