{"id":"W2796707700","doi":"10.1080/02763893.2018.1451801","title":"Food Waste and Quality of Life in Elderly Populations Living in Retirement Living Communities","year":2018,"lang":"en","type":"article","venue":"Journal of Housing for the Elderly","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Feeling; Food waste; Food insecurity; Food service; Retirement community; Quality of life (healthcare); Gerontology; Service (business); Business; Psychology; Environmental health; Food security; Marketing; Medicine; Social psychology; Geography; Agriculture; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009282526,0.0001306509,0.0002333689,0.0007050876,0.001951083,0.0008442501,0.0002617752,0.0002536906,0.0007899477],"category_scores_gemma":[0.002210962,0.0001085923,0.00024117,0.0008192616,0.0008982016,0.0003615808,0.0008497172,0.0004408958,0.00004643625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699099,"about_ca_system_score_gemma":0.002191897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4804939,"about_ca_topic_score_gemma":0.6888205,"domain_scores_codex":[0.9996476,0.00008759594,0.00002243131,0.00002546487,0.00008846509,0.0001285399],"domain_scores_gemma":[0.9992667,0.00007908497,0.0001466216,0.00001944138,0.0002848957,0.0002032145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131412,0.0001158296,0.9477915,0.00005515247,0.00004588796,0.0001789609,0.03934575,0.000059677,0.0004392034,0.000076057,0.0003090929,0.01145148],"study_design_scores_gemma":[0.000003737853,0.0001153449,0.9461201,0.00002931664,0.00001712224,0.00006328095,0.0528491,0.00006860388,0.00006594892,0.00003806096,0.0006192988,0.00001006515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994134,0.0001093068,0.00001095126,0.00004587689,0.00000173462,0.000004070551,0.00003496993,4.216087e-7,0.0003793889],"genre_scores_gemma":[0.9997159,0.00008137667,0.00002515917,0.00002306141,0.00000107788,0.00000278691,0.00002882577,2.856767e-7,0.0001215208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4804939,"threshold_uncertainty_score":0.9553941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080208560280186,"score_gpt":0.3093099128792802,"score_spread":0.2012890568512615,"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."}}