{"id":"W7117668963","doi":"10.2139/ssrn.5995703","title":"Unpacking Food Waste in British Columbia Households: Behavioral and Demographic Insights for Sustainable Cities and Solutions","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Food waste; Unpacking; Psychological intervention; Sustainability; Consumer behaviour; Food preparation; Food systems; Survey data collection; Household waste","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002525851,0.0004245593,0.0008103616,0.0001547054,0.002661619,0.00234997,0.0004341362,0.0006604923,0.00001320071],"category_scores_gemma":[0.0001887063,0.0003762221,0.0003822467,0.0008502194,0.000682007,0.0005627174,0.0006520331,0.003511862,6.204355e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501726,"about_ca_system_score_gemma":0.00232978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0285284,"about_ca_topic_score_gemma":0.639915,"domain_scores_codex":[0.9929796,0.0004532153,0.0009512279,0.001022786,0.0003259467,0.004267212],"domain_scores_gemma":[0.9983395,0.0001979517,0.0004077882,0.0001313047,0.0006411304,0.0002823734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004239045,0.002073289,0.1477443,0.001943852,0.0009837254,0.00006880914,0.002964386,0.0003471056,0.0003089436,0.07388546,0.0004459634,0.7688103],"study_design_scores_gemma":[0.00118737,0.002859428,0.02408388,0.0004047145,0.0002014941,0.0005619397,0.5044965,0.0001583741,0.000006028713,0.4640982,0.001229787,0.0007122809],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621593,0.03478125,0.00007845314,0.0009630283,0.0003023906,0.00154138,0.00007058983,0.00004078471,0.00006275911],"genre_scores_gemma":[0.9508581,0.04357106,0.00002605848,0.00003772622,0.0003424493,0.0001302779,0.00002676752,0.000007015703,0.005000516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.768098,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754645273498301,"score_gpt":0.2310631023113876,"score_spread":0.2135166495764046,"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."}}