{"id":"W2112490573","doi":"10.1186/1476-072x-6-4","title":"The case of Montréal's missing food deserts: evaluation of accessibility to food supermarkets.","year":2007,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":454,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Institut National de la Recherche Scientifique","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Public health; Diversity (politics); Exploratory research; Census; Business; Marketing; Environmental health; Population; Medicine; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001838811,0.0003696762,0.0001899616,0.001889936,0.001022221,0.001000109,0.000738952,0.0003732939,0.003008265],"category_scores_gemma":[0.009588473,0.0001157329,0.0005138587,0.002436238,0.000620424,0.000592085,0.0008393575,0.0003047568,0.0001431397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007315465,"about_ca_system_score_gemma":0.003455306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7053952,"about_ca_topic_score_gemma":0.8243659,"domain_scores_codex":[0.9991831,0.0002632461,0.00003839086,0.00007315061,0.0002813106,0.0001607817],"domain_scores_gemma":[0.9955221,0.0009671381,0.001207704,0.000141559,0.001406872,0.0007545649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000399431,0.0001801249,0.9668473,0.0002296302,0.0001359191,0.001914105,0.003000943,0.0009721895,0.0005619038,0.0005930651,0.002687656,0.02247771],"study_design_scores_gemma":[0.00001512736,0.0002276707,0.9902263,0.00004243924,0.00006180505,0.0002949718,0.00494011,0.001740205,0.0001807464,0.0001067169,0.002148838,0.00001496062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911646,0.0004117436,0.0004050557,0.0003435326,0.00001700531,0.0002071748,0.001616599,0.00001883056,0.005815361],"genre_scores_gemma":[0.9978916,0.0001592741,0.0006710089,0.00002958438,0.000006747175,0.00004100454,0.0004709389,0.000003883525,0.0007259115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2946048,"threshold_uncertainty_score":0.5926795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0595776228726325,"score_gpt":0.3963433973405337,"score_spread":0.3367657744679012,"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."}}