{"id":"W4406492980","doi":"10.1002/mar.22184","title":"Flipping the Script: Harnessing Consumer Knowledge, Message Order and Refutation for Effective Two‐Sided Green Advertising","year":2025,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Ted Rogers Centre for Heart Research","funders":"","keywords":"Advertising; Order (exchange); Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001940859,0.000182146,0.0002031444,0.0001555375,0.000818667,0.0001640986,0.0001105686,0.00009387243,0.0000204142],"category_scores_gemma":[0.001343448,0.0001513217,0.00003342727,0.0003549911,0.0003276603,0.0004977618,0.0002164129,0.0001693269,0.000003700404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003376595,"about_ca_system_score_gemma":0.000009588965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100005,"about_ca_topic_score_gemma":0.00006515692,"domain_scores_codex":[0.9988487,0.0001257425,0.0002503612,0.0004259891,0.00006060868,0.0002886029],"domain_scores_gemma":[0.9985765,0.0009764204,0.0001456045,0.0001760686,0.0001162853,0.000009137431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006919529,0.0001006277,0.2063274,0.00164503,0.0001264122,0.000004692923,0.0003801184,0.00002053507,0.002825279,0.003343076,0.001575459,0.7829594],"study_design_scores_gemma":[0.002481318,0.000008061073,0.9274127,0.0005007128,0.0002223447,0.000009197819,0.0008393166,0.004426091,0.00003794571,0.01099851,0.05275474,0.000309081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649695,0.003451439,0.007666292,0.006122393,0.0007555084,0.001281199,0.000001320101,0.00009549026,0.01565683],"genre_scores_gemma":[0.9952504,0.0000471532,0.0005935387,0.003234107,0.0002224722,0.0001533492,0.00001034641,0.00002141641,0.0004671917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7826504,"threshold_uncertainty_score":0.6296608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008614993101523747,"score_gpt":0.2909687419863327,"score_spread":0.282353748884809,"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."}}