{"id":"W3163055193","doi":"10.3389/fsufs.2021.658898","title":"Eco-Feedback for Food Waste Reduction in a Student Residence","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Education, Audiovisual and Culture Executive Agency; Technische Universiteit Eindhoven; European Commission","keywords":"Food waste; Residence; Audit; Cleaner production; Garbage; Business; Plastic waste; Compost; Waste management; Marketing; Environmental science; Environmental economics; Engineering; Municipal solid waste; Economics","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":[0.00108345,0.0002401643,0.000496073,0.0001004978,0.000211428,0.0002032396,0.0003053743,0.0002165314,0.00001032583],"category_scores_gemma":[0.0003054619,0.0001344927,0.0001504583,0.001389729,0.00007515006,0.0003739541,0.0001209975,0.0002244142,9.681549e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009171158,"about_ca_system_score_gemma":0.0001473752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002694649,"about_ca_topic_score_gemma":0.0005727196,"domain_scores_codex":[0.9970276,0.0004022701,0.0006531951,0.0007248601,0.0003415139,0.0008504976],"domain_scores_gemma":[0.9989418,0.00008184766,0.0001542196,0.0001884111,0.0005004859,0.0001332605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.005108789,0.009191955,0.379075,0.01297908,0.0009944503,0.001136092,0.02691243,0.04990693,0.02674514,0.09797561,0.171443,0.2185315],"study_design_scores_gemma":[0.0008404905,0.001291105,0.008309297,0.0001232827,0.0000121534,0.00003908539,0.9578621,0.0004465124,0.001057719,0.003303467,0.02633283,0.0003819225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898704,0.004486077,0.0001332549,0.001289079,0.00174792,0.001725757,0.000030489,0.00005693452,0.0006601235],"genre_scores_gemma":[0.9920529,0.00007642574,0.0002046981,0.00002081458,0.0003667271,0.0004757457,0.00003694705,0.000003986015,0.006761774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9309497,"threshold_uncertainty_score":0.5484451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580262595513294,"score_gpt":0.2349806142461684,"score_spread":0.2191779882910355,"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."}}