{"id":"W7082269338","doi":"10.14288/1.0450127","title":"Messaging Matters? : Effect of Framing on Willingness to Reduce Food Waste","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Food waste; Residence; Sustainability; Action plan; Willingness to accept; Healthy food; Call to action","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006911804,0.0004722754,0.0003888266,0.0004293672,0.0006518966,0.00188577,0.000444564,0.001106248,0.00718026],"category_scores_gemma":[0.0389805,0.0003602807,0.0008663248,0.0002880105,0.0009021561,0.00112304,0.001064311,0.002391212,0.000677996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952229,"about_ca_system_score_gemma":0.0008656291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612485,"about_ca_topic_score_gemma":0.002092574,"domain_scores_codex":[0.994922,0.003352561,0.0002144774,0.00048206,0.0006776213,0.0003514207],"domain_scores_gemma":[0.9427841,0.04712462,0.006251114,0.0009390805,0.001187313,0.001713754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0173287,0.01414589,0.7101749,0.001613364,0.001493813,0.0005369529,0.07028054,0.001394128,0.01540018,0.003188821,0.003321131,0.1611217],"study_design_scores_gemma":[0.0006620112,0.009022193,0.9455211,0.0006550382,0.001382664,0.0001576377,0.02553502,0.004033769,0.004698262,0.002683522,0.005505343,0.0001435633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947692,0.000142011,0.0003600161,0.0005924959,0.000055475,0.00007476554,0.00005377226,0.00001374181,0.003938643],"genre_scores_gemma":[0.9977987,0.0001171477,0.0006743891,0.0002778313,0.0000368346,0.0001225325,0.00005219668,0.00001047466,0.0009098017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00718026,"threshold_uncertainty_score":0.0365535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038491947594361,"score_gpt":0.1779744817319964,"score_spread":0.172935989784402,"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."}}