{"id":"W2999915500","doi":"10.1016/j.jneb.2019.10.014","title":"Characterizing and Assessing the Quality of State K–12 Share Table Policies as a Potential Mechanism to Reduce Food Waste and Promote Food Security","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture","keywords":"Outreach; Table (database); Business; Quality (philosophy); Policy analysis; Food security; Marketing; Operations management; Environmental health; Medicine; Computer science; Economics; Political science; Database; Economic growth; Geography; Agriculture; Public administration","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":[0.005688655,0.0001384965,0.000212955,0.0008511097,0.0008007163,0.002723614,0.0007230355,0.0006278753,0.00417977],"category_scores_gemma":[0.01911825,0.000209966,0.0003071914,0.001561813,0.0007383173,0.001606822,0.0007869765,0.0007464002,0.0004328755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003717266,"about_ca_system_score_gemma":0.009036922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06740317,"about_ca_topic_score_gemma":0.1607246,"domain_scores_codex":[0.9963422,0.001578288,0.0002496949,0.0003135765,0.00082784,0.000688317],"domain_scores_gemma":[0.9753115,0.007356519,0.00929726,0.001474765,0.005175134,0.001384954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002980434,0.0007782446,0.9493818,0.000112312,0.0001559746,0.00003324764,0.001191239,0.007377419,0.001907319,0.00511759,0.002327108,0.03131963],"study_design_scores_gemma":[0.00003057445,0.0004804395,0.9740554,0.00006889652,0.00008487989,0.00001731453,0.004540153,0.009284595,0.002758567,0.002527213,0.006118534,0.00003346208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986554,0.00004467319,0.001788687,0.001309529,0.00001706309,0.00007461813,0.000654596,0.00003038607,0.009526437],"genre_scores_gemma":[0.9973735,0.0000320136,0.0009919857,0.0001505132,0.000006549632,0.0000211465,0.0002619639,0.000004774779,0.001157613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06740317,"threshold_uncertainty_score":0.1340217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1755635972755192,"score_gpt":0.4771348004636186,"score_spread":0.3015712031880993,"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."}}