{"id":"W4414485564","doi":"10.33423/jabe.v27i5.7832","title":"Integrating Cognitive, Emotional, and Informational Predictors of Pro-Environmental Behavior","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Environmental pollution; Sample (material); Sensitivity (control systems); Environmental data; Pollution","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":[0.001082054,0.000312134,0.0001844571,0.0007985568,0.0003146623,0.001053503,0.0001767588,0.0003803906,0.002600108],"category_scores_gemma":[0.006734143,0.0001732195,0.0003167587,0.0006132629,0.0003600258,0.0005791142,0.0006444154,0.0006040127,0.0001824338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044714,"about_ca_system_score_gemma":0.0005596792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066448,"about_ca_topic_score_gemma":0.005297644,"domain_scores_codex":[0.9994005,0.0002872524,0.00003762541,0.00005495022,0.0001395676,0.00008018057],"domain_scores_gemma":[0.99268,0.003566797,0.002107272,0.0003033538,0.0006437044,0.0006989642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004981494,0.0004153409,0.9858367,0.00002773545,0.00007951528,0.000036987,0.0002599682,0.0002647864,0.0002890701,0.0002461325,0.00004932251,0.01244454],"study_design_scores_gemma":[0.000003437917,0.00008072473,0.9976089,0.00001435655,0.00004395558,0.0000454408,0.0004721441,0.0009469846,0.0001517755,0.0004180683,0.0002074952,0.000006720928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995949,0.0001226515,0.0005496227,0.00019059,0.000005802277,0.0000142882,0.00007470939,0.000006202317,0.003087025],"genre_scores_gemma":[0.9992504,0.00008460153,0.0003811734,0.0000246282,0.000007595542,0.000006870919,0.0000751525,0.000001308322,0.0001681679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002600108,"threshold_uncertainty_score":0.008698225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00499526214978425,"score_gpt":0.2066149688995045,"score_spread":0.2016197067497202,"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."}}