{"id":"W7139646355","doi":"","title":"Framing to Reduce Single-Use Cups","year":2024,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Framing (construction); Surprise; Likert scale; Framing effect; Purchasing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003952554,0.0004720908,0.000275203,0.0004878585,0.0004535146,0.001066307,0.0004374684,0.0005697846,0.01069945],"category_scores_gemma":[0.01417852,0.0002072407,0.0008295043,0.0002105236,0.0006085812,0.0008883571,0.0009253236,0.0009011839,0.0006859894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703948,"about_ca_system_score_gemma":0.0005593845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434281,"about_ca_topic_score_gemma":0.001579853,"domain_scores_codex":[0.997969,0.0009054227,0.00009983038,0.0001600677,0.0006985777,0.0001671696],"domain_scores_gemma":[0.9893311,0.006308783,0.002022543,0.0008288292,0.0009369232,0.0005718749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008092959,0.01261364,0.2598791,0.005196591,0.0007978358,0.0006653732,0.01883975,0.004495921,0.05390328,0.0148745,0.01518275,0.6054582],"study_design_scores_gemma":[0.001064661,0.01857896,0.8080854,0.002642301,0.002048328,0.0004673359,0.01621844,0.01088598,0.03327353,0.01453183,0.09182162,0.0003815423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9709867,0.0005481715,0.005716435,0.001173803,0.0002317209,0.000452078,0.0002165048,0.0001572859,0.02051742],"genre_scores_gemma":[0.9886707,0.0004210588,0.00736555,0.0006181283,0.0001426937,0.0003163329,0.0001475001,0.00002101104,0.002296952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9985657,"threshold_uncertainty_score":0.03579324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337763527338842,"score_gpt":0.2295295803926602,"score_spread":0.1961519451192718,"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."}}