{"id":"W1584241615","doi":"10.1007/bf03403732","title":"Measuring and mapping disparities in access to fresh fruits and vegetables in Montréal.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sustainability; Population; Georeference; Business; Agricultural economics; Index (typography); Agricultural science; Socioeconomics; Census; Environmental health; Medicine; Environmental science; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251688,0.00006909081,0.0001488411,0.0001197434,0.0001742552,0.00009821197,0.0001379746,0.00004858617,0.00000394145],"category_scores_gemma":[0.0001274628,0.00006901749,0.00001142465,0.0002935547,0.0001299658,0.0005963062,0.00004876163,0.00008414443,3.356718e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004796853,"about_ca_system_score_gemma":0.00002221996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04243112,"about_ca_topic_score_gemma":0.2642096,"domain_scores_codex":[0.9990711,0.00004646143,0.0001600318,0.000211266,0.000164317,0.0003468306],"domain_scores_gemma":[0.9997149,0.00005449884,0.00002293727,0.00006748705,0.00001603512,0.0001241079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006630725,0.00001724089,0.9863414,0.00001936059,0.000001748312,0.00001170608,0.00388711,0.00000368066,0.000003160261,0.00007117911,0.00004645983,0.009590302],"study_design_scores_gemma":[0.0001928137,0.000001023928,0.9975457,0.0000195239,0.000001410775,2.010981e-7,0.000412031,0.00000351415,0.00003895469,0.0007939251,0.0009013116,0.00008965148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923839,0.002524668,0.000007531965,0.0010175,0.00006213226,0.0004420466,0.000002287933,0.00002314374,0.003536782],"genre_scores_gemma":[0.9990263,0.0003426515,0.00003571796,0.0001101579,0.00004717736,0.0002592158,5.601735e-7,0.000004273661,0.000173945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2217784,"threshold_uncertainty_score":0.9639454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049852940201156,"score_gpt":0.2526307510075294,"score_spread":0.1621322216055179,"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."}}