{"id":"W3175519678","doi":"10.1007/s12144-021-01809-1","title":"The progress and trend of pro-environmental behavior research: a bibliometrics-based visualization analysis","year":2021,"lang":"en","type":"article","venue":"Current Psychology","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Bibliometrics; Multidisciplinary approach; Social Sciences Citation Index; Psychology; Data science; Citation; Process (computing); Citation analysis; Trend analysis; Subject (documents); Social science; Management science; Computer science; Data mining; Sociology; Science Citation Index; World Wide Web; Engineering","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006472026,0.0005705215,0.000762546,0.08898024,0.000880563,0.005753639,0.0006552166,0.0007852527,0.004146716],"category_scores_gemma":[0.04004366,0.0001769406,0.001020552,0.08024628,0.0006026602,0.003634154,0.001769419,0.0005840902,0.0009412581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279934,"about_ca_system_score_gemma":0.002588564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007434576,"about_ca_topic_score_gemma":0.007852452,"domain_scores_codex":[0.9953983,0.0009991869,0.0009368954,0.0005468634,0.001836987,0.0002817404],"domain_scores_gemma":[0.9554237,0.02478659,0.007276628,0.001970633,0.009267142,0.00127538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004832632,0.0002074648,0.6709779,0.002959557,0.0009138774,0.0002548296,0.005737825,0.003653732,0.005213248,0.0112876,0.0201434,0.2781673],"study_design_scores_gemma":[0.00006181817,0.0002886588,0.8939413,0.0009552255,0.001109875,0.0007228728,0.008145123,0.02364647,0.004549021,0.008615878,0.05780834,0.0001553738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728069,0.009656687,0.01436253,0.004522633,0.0003712343,0.0002881811,0.05246753,0.004210615,0.0413137],"genre_scores_gemma":[0.9696713,0.00247059,0.01330024,0.00007972342,0.0002424114,0.0001713179,0.01147438,0.0001503553,0.002439624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9110197,"threshold_uncertainty_score":0.03422773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058883432922945,"score_gpt":0.4810140908783976,"score_spread":0.3751257475861031,"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."}}