{"id":"W4411846009","doi":"10.3390/jrfm18070361","title":"Decoding ESG: Consumer Perceptions, Ethical Signals and Financial Outcomes","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decoding methods; Perception; Business; Psychology; Finance; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002578648,0.0002328859,0.0001758448,0.0003122447,0.0002878968,0.001536116,0.0001354196,0.0007379783,0.003990492],"category_scores_gemma":[0.01416268,0.0001182101,0.0001582623,0.000229342,0.0007635328,0.001239896,0.0007950349,0.0008488128,0.0002701094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004199854,"about_ca_system_score_gemma":0.0003553412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119771,"about_ca_topic_score_gemma":0.001278655,"domain_scores_codex":[0.9988915,0.0005534072,0.00005351975,0.00008259663,0.000333533,0.00008547401],"domain_scores_gemma":[0.9915267,0.004926643,0.002162677,0.0004019943,0.0006851117,0.0002968847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002529857,0.00264781,0.7603877,0.0004446098,0.0001864269,0.0003915385,0.03767584,0.001335353,0.03631312,0.01145059,0.00153284,0.1451045],"study_design_scores_gemma":[0.0001152989,0.001908346,0.9373218,0.0001512685,0.0002145857,0.0002014255,0.02985429,0.00527932,0.009916555,0.009771029,0.005173949,0.00009204642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950681,0.00003458583,0.0007211263,0.0002930871,0.00000629138,0.00001559367,0.00002209945,0.000005740792,0.003833319],"genre_scores_gemma":[0.9988528,0.00003852672,0.0005256974,0.0001062781,0.000006766084,0.00001235217,0.00002692989,0.000003579107,0.0004270235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003990492,"threshold_uncertainty_score":0.01363736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007035372736475859,"score_gpt":0.2381114450221997,"score_spread":0.2310760722857239,"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."}}