{"id":"W1988712904","doi":"10.1016/j.jand.2013.08.013","title":"Reliability and Accuracy of Real-Time Visualization Techniques for Measuring School Cafeteria Tray Waste: Validating the Quarter-Waste Method","year":2013,"lang":"en","type":"article","venue":"Journal of the Academy of Nutrition and Dietetics","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cafeteria; Tray; Reliability (semiconductor); Quarter (Canadian coin); Visualization; Computer science; Reliability engineering; Medicine; Data mining; Engineering; Mechanical engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415726,0.00008512582,0.0002187251,0.00001798958,0.0001498153,0.00003874541,0.0001592636,0.00009715798,0.00001192802],"category_scores_gemma":[0.0009011833,0.00002950896,0.0001207027,0.0001380576,0.0001256395,0.0002281184,0.00004653127,0.0001288234,5.232799e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002076188,"about_ca_system_score_gemma":0.000008714522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633728,"about_ca_topic_score_gemma":4.266051e-7,"domain_scores_codex":[0.9987071,0.0003697892,0.0005311813,0.0001013084,0.0001869518,0.0001036567],"domain_scores_gemma":[0.9982817,0.000729604,0.0005876189,0.00004126599,0.000297138,0.00006272052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009420244,0.0001169386,0.0001968713,0.0002289704,0.00001400746,2.006348e-8,0.0001896976,0.000008973199,0.9768108,0.0001008352,0.0007234766,0.02151522],"study_design_scores_gemma":[0.001312846,0.00191775,0.0584849,0.001036576,0.0001982602,0.0001035567,0.04405419,0.002992791,0.8493491,0.03701469,0.003208866,0.0003265045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897904,0.000153424,0.0002299782,0.009261493,0.00003365146,0.0004905724,0.00001038384,0.000007035947,0.00002306259],"genre_scores_gemma":[0.9955,0.0004825293,0.003777953,0.00005784579,0.0001559696,0.00001013443,7.396513e-7,0.000001161171,0.00001363854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274617,"threshold_uncertainty_score":0.120334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279965211688866,"score_gpt":0.3070347249209565,"score_spread":0.2742350728040678,"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."}}