{"id":"W2334266954","doi":"10.4315/0362-028x.jfp-13-027","title":"Exploring the Relationship between Food Access and Foodborne Illness by Using Spatial Analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Public Health Agency of Canada","keywords":"Proxy (statistics); Outbreak; Environmental health; Geography; Food products; Business; Medicine; Computer science; Biology; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001446118,0.0002883633,0.0002275641,0.002362284,0.0005981742,0.00105538,0.0004661826,0.0003396198,0.002723532],"category_scores_gemma":[0.009483607,0.0002130583,0.001020835,0.004163228,0.0004480883,0.0008477729,0.001168101,0.0003847558,0.0001359345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223239,"about_ca_system_score_gemma":0.0008067237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05079642,"about_ca_topic_score_gemma":0.0593881,"domain_scores_codex":[0.9986388,0.0007355459,0.0001209393,0.0001690025,0.0001817702,0.0001538521],"domain_scores_gemma":[0.9928582,0.004882904,0.001212762,0.0003876449,0.0004157225,0.0002428037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008778954,0.00004090293,0.9920121,0.00002961678,0.0002734142,0.00007981111,0.0004765428,0.0006932261,0.0003640861,0.0003956794,0.0001050751,0.005441716],"study_design_scores_gemma":[0.000006393414,0.0001253886,0.9852396,0.00002690401,0.0002007392,0.0002511342,0.004351828,0.007747635,0.0002119467,0.001057673,0.0007649544,0.0000157603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995357,0.0002755401,0.002412545,0.000188586,0.000008541807,0.00001178417,0.0005358306,0.00001019387,0.001200006],"genre_scores_gemma":[0.9986657,0.00008573852,0.0009476764,0.000007792474,0.000005052934,0.000008914048,0.0001432229,0.000001695065,0.0001342678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05079642,"threshold_uncertainty_score":0.1010015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.570062573781258,"score_gpt":0.4606859753111712,"score_spread":0.1093765984700868,"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."}}