{"id":"W2972878751","doi":"10.1177/0013916519875180","title":"“Reduce Food Waste, Save Money”: Testing a Novel Intervention to Reduce Household Food Waste","year":2019,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Brescia University College","keywords":"Garbage; Food waste; Intervention (counseling); Bespoke; Environmental health; Household waste; Randomized controlled trial; Control (management); Food preparation; Business; Waste management; Medicine; Economics; Engineering; Food safety; Advertising","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000195401,0.0002023541,0.0001929905,0.00002240226,0.0001491918,0.00007158053,0.0001520872,0.00009825113,0.0001304636],"category_scores_gemma":[0.00002460055,0.0001002182,0.0001061558,0.000166247,0.00005446002,0.0001537513,0.000181738,0.0001441842,0.0000179794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008253708,"about_ca_system_score_gemma":0.000004058291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005446559,"about_ca_topic_score_gemma":0.00002168569,"domain_scores_codex":[0.998607,0.00004495863,0.0002743414,0.0005093276,0.0002389202,0.0003254391],"domain_scores_gemma":[0.9995483,0.0000431203,0.00008837477,0.0001201331,0.00001544221,0.0001846178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004515882,0.0008650078,0.02349825,0.00002345863,0.00001334275,0.000001344418,0.0001700399,0.00008602563,0.6696763,0.00002595488,0.00007210555,0.305523],"study_design_scores_gemma":[0.001471136,0.009418242,0.8307566,0.0001215035,0.0001530213,0.00005405516,0.06778133,0.0001224144,0.0849824,0.00005889396,0.004069024,0.001011375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982693,0.00009297799,0.000006105958,0.0004568511,0.0001907235,0.0007605578,0.00005626019,0.00005377701,0.000113502],"genre_scores_gemma":[0.9981734,0.000007680384,0.0002501732,0.00004786459,0.0001728362,0.00009619825,0.00001847853,0.00000339651,0.001230031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8072584,"threshold_uncertainty_score":0.4086781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04700406905481132,"score_gpt":0.2262530265421815,"score_spread":0.1792489574873702,"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."}}