{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002015156,0.0007959438,0.0007005455,0.0004721932,0.000608918,0.0003533013,0.001089157,0.001685531,0.00412446],"category_scores_gemma":[0.002817153,0.0005703883,0.0008179932,0.0002123781,0.0009067571,0.0006738674,0.0005843053,0.0009284777,0.0002746204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006283946,"about_ca_system_score_gemma":0.002055835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004446758,"about_ca_topic_score_gemma":0.006409254,"domain_scores_codex":[0.9988451,0.0006106693,0.0000857343,0.0001718993,0.0001644387,0.0001221704],"domain_scores_gemma":[0.9991399,0.0004517565,0.0001440729,0.00004329724,0.00006121987,0.0001597021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1142465,0.6144037,0.00350835,0.00436356,0.0005498769,0.0003145167,0.001900933,0.002418829,0.03171319,0.001041225,0.001544694,0.2239947],"study_design_scores_gemma":[0.1555544,0.8081303,0.01461812,0.0002442805,0.000814078,0.0001471224,0.0004174684,0.003156552,0.01313464,0.0006019404,0.003114097,0.00006698024],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912518,0.0001348241,0.001619091,0.0004659563,0.0001051109,0.00524984,0.00008743344,0.00006712961,0.001018715],"genre_scores_gemma":[0.9478399,0.0006669372,0.0318488,0.001065868,0.0001354035,0.01609205,0.0001908824,0.00001268384,0.002147546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004446758,"threshold_uncertainty_score":0.0137977,"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."}}