{"id":"W4401022219","doi":"10.1016/j.jneb.2024.05.189","title":"Integrating GIS With Stakeholder Voices for Improving Food Access for a Low-Income Community in Northeastern Connecticut","year":2024,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stakeholder; Low income; Business; Environmental planning; Geography; Socioeconomics; Sociology; Political science; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004980778,0.0003411368,0.0001980718,0.001515874,0.007623735,0.004314248,0.001277213,0.001229294,0.006844163],"category_scores_gemma":[0.006907223,0.0002398917,0.0001851703,0.001314881,0.001723128,0.002004338,0.005646771,0.001179994,0.0002498292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005892242,"about_ca_system_score_gemma":0.01521125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06624903,"about_ca_topic_score_gemma":0.2409279,"domain_scores_codex":[0.9968398,0.002309658,0.00007108306,0.0001291207,0.0002962407,0.0003541715],"domain_scores_gemma":[0.9955187,0.002468592,0.0002291345,0.0001502813,0.0008045598,0.0008286606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002570243,0.001535189,0.1644464,0.0009060506,0.00009666387,0.005721236,0.48595,0.002314794,0.008972194,0.01799068,0.05186329,0.2599465],"study_design_scores_gemma":[0.00003521067,0.0002289259,0.03480331,0.0007659796,0.00005418857,0.000272488,0.8755045,0.003135799,0.001632395,0.005278522,0.07824526,0.00004339905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955011,0.000394742,0.005390536,0.03316585,0.0001482433,0.000661176,0.0004234121,0.0002171503,0.06409765],"genre_scores_gemma":[0.9777703,0.0002974193,0.01367673,0.001749458,0.00001928328,0.0004322801,0.0001459806,0.00003478602,0.00587377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06624903,"threshold_uncertainty_score":0.1317268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2213117478241922,"score_gpt":0.4802988797977832,"score_spread":0.258987131973591,"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."}}