{"id":"W4408470982","doi":"10.21083/ruralreview.v8i1.7934","title":"Increasing Local Food in Long-Term Care Homes","year":2024,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Term (time); Long-term care; Business; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002777692,0.0002299605,0.0003238235,0.00005301161,0.0001720028,0.0001368294,0.0001286479,0.00008115833,0.0001004003],"category_scores_gemma":[0.00003861318,0.00009775974,0.00008199053,0.0004448135,0.00006161883,0.0002057227,0.00007035846,0.0002506255,0.00001311232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498177,"about_ca_system_score_gemma":0.0002334854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009970585,"about_ca_topic_score_gemma":0.02889894,"domain_scores_codex":[0.9987329,0.00008204213,0.000368204,0.0002446712,0.0001827628,0.0003894394],"domain_scores_gemma":[0.9996547,0.00007750405,0.00004121002,0.00004624949,0.00003672693,0.0001435835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000217516,0.00001349936,0.1536856,0.001261226,0.00002051046,0.00002565004,0.002921526,0.000001220259,0.0001032202,0.0002582528,0.0001852074,0.8415023],"study_design_scores_gemma":[0.0001044706,0.0001285484,0.9354551,0.006072993,0.00001566536,0.0001113653,0.004543332,0.000002238554,0.00005775936,0.00009047663,0.05308786,0.0003301385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819258,0.1155204,0.00000108653,0.00168853,0.0001077807,0.0002940188,0.000003973954,0.00006966159,0.0003888158],"genre_scores_gemma":[0.9960648,0.002740466,0.00004261268,0.0003533984,0.000150815,0.00002296053,0.0002023896,0.000001861786,0.0004206958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8411722,"threshold_uncertainty_score":0.9966221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643057147269292,"score_gpt":0.2749330863821126,"score_spread":0.2585025149094197,"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."}}