{"id":"W2703672036","doi":"","title":"Improving Food and Nutrition for Community Dwelling Older Adults; Opportunities for Product Development","year":2017,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Canadian Foundation for Dietetic Research","keywords":"Product (mathematics); Gerontology; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007346709,0.0002725449,0.0001997325,0.0005295953,0.0003465356,0.00113803,0.0002201183,0.0006227505,0.00813551],"category_scores_gemma":[0.0007570253,0.0001126558,0.0002183724,0.0003449622,0.0002098193,0.0008889455,0.0007569596,0.0005006622,0.0007476734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633788,"about_ca_system_score_gemma":0.001701677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002416193,"about_ca_topic_score_gemma":0.01451292,"domain_scores_codex":[0.9998606,0.00004377884,0.000007995592,0.0000149393,0.00004766168,0.00002492075],"domain_scores_gemma":[0.9996753,0.00006122453,0.00006632791,0.00001290327,0.00007231329,0.0001119217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003594384,0.00115281,0.01313608,0.002248033,0.00002870856,0.0004077554,0.0006412577,0.0001627424,0.009561567,0.005832944,0.05940437,0.9070643],"study_design_scores_gemma":[0.0002910224,0.002576614,0.1444511,0.004963325,0.0001808156,0.001040361,0.004512688,0.0005114645,0.006749571,0.01176014,0.8229129,0.0000499741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3769166,0.2969487,0.006772037,0.1024782,0.002616084,0.0005904538,0.001663295,0.0003623806,0.2116523],"genre_scores_gemma":[0.6764091,0.2099945,0.05239582,0.009834623,0.001051998,0.0003003188,0.0006068992,0.00005334067,0.04935339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00813551,"threshold_uncertainty_score":0.02721596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09755291695272308,"score_gpt":0.2869425431761943,"score_spread":0.1893896262234712,"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."}}