{"id":"W4318707488","doi":"10.1108/bfj-06-2022-0561","title":"Investigating food waste generation at long-term care facilities in Ontario","year":2023,"lang":"en","type":"article","venue":"British Food Journal","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food waste; Context (archaeology); Business; Audit; Government (linguistics); Marketing; Operations management; Environmental economics; Environmental planning; Waste management; Engineering; Economics; Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398125,0.0001078407,0.0001523575,0.00002769496,0.0004785343,0.0002947871,0.0001363882,0.00009013981,0.000260179],"category_scores_gemma":[0.00008052657,0.00006373085,0.000106327,0.0002978678,0.00006333545,0.0002363581,0.00008557807,0.0002996351,0.000007446348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455372,"about_ca_system_score_gemma":0.00006671617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006038643,"about_ca_topic_score_gemma":0.781635,"domain_scores_codex":[0.9987168,0.0001126215,0.0003209675,0.0002313188,0.0002672557,0.0003509849],"domain_scores_gemma":[0.9995735,0.00002620088,0.00008032598,0.00003722621,0.0001296293,0.0001531443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001199293,0.00006982867,0.5670044,0.00006979855,0.00003601972,0.00009652165,0.005469201,0.00049078,0.01416758,0.00003188245,0.002745638,0.4098063],"study_design_scores_gemma":[0.0003245233,0.000788137,0.9504282,0.00008146921,0.000004692606,0.0006032092,0.04500758,0.00003503843,0.0008957763,0.0002985701,0.001309865,0.0002229405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981475,0.0004976615,4.227487e-7,0.0005129182,0.0003535968,0.0001527608,0.00003260446,0.00004961996,0.0002528419],"genre_scores_gemma":[0.9975903,0.00004949015,0.00001314118,0.00003928937,0.0004080858,0.000011181,0.00009778095,0.00000125711,0.00178948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7755963,"threshold_uncertainty_score":0.9128663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04333071279216448,"score_gpt":0.2227709371522749,"score_spread":0.1794402243601105,"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."}}