{"id":"W1508954227","doi":"10.1007/bf03405538","title":"Demographic and Urban Form Correlates of Healthful and Unhealthful Food Availability in Montréal, Canada","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Sante Montreal; Université de Montréal","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Geography; Census; Metropolitan area; Demography; Socioeconomics; Population; Sociology","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":[0.0005904152,0.0003959332,0.0003799865,0.002305691,0.003976147,0.001679252,0.001818314,0.0005400574,0.006149759],"category_scores_gemma":[0.002266875,0.0004052296,0.0007888133,0.004654975,0.0009896933,0.0005732455,0.001019872,0.0008338213,0.0003686561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03496629,"about_ca_system_score_gemma":0.02778888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981822,"about_ca_topic_score_gemma":0.9992633,"domain_scores_codex":[0.9992551,0.00007557057,0.00004609679,0.0001114747,0.0001951084,0.0003166502],"domain_scores_gemma":[0.9970934,0.0001286788,0.0005942171,0.00006867202,0.001157012,0.000958015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007741114,0.00005563966,0.9916478,0.00002116872,0.00006280608,0.00007292564,0.001063115,0.0001998017,0.0001416578,0.0003318759,0.003003839,0.003321979],"study_design_scores_gemma":[0.000005400916,0.00001073146,0.9975593,0.00001581966,0.00001216393,0.00002096457,0.001191525,0.00019488,0.00002533753,0.0000221533,0.0009310061,0.00001068105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853184,0.0008210383,0.0001508252,0.0009642684,0.00002907378,0.00007451168,0.007896254,0.00002978241,0.004715752],"genre_scores_gemma":[0.9955487,0.0003202558,0.0001552465,0.0001106651,0.00001175571,0.00002377542,0.001419435,0.000008429436,0.002401787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03496629,"threshold_uncertainty_score":0.2536994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09924429977970801,"score_gpt":0.3484414797634952,"score_spread":0.2491971799837872,"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."}}