{"id":"W4310207686","doi":"10.3390/jrfm15120561","title":"Bibliometric Analysis of Green Finance and Climate Change in Post-Paris Agreement Era","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Climate change; Greenhouse gas; Mainstream; Sustainability; Finance; Scopus; Climate Finance; Studio; Business; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00137997,0.0001520165,0.0007009618,0.03284162,0.000118155,0.00002684095,0.0002206524,0.00004293824,0.0001503419],"category_scores_gemma":[0.0000299511,0.0001783648,0.0001671058,0.01583943,0.00004864921,0.0002380561,0.0003907052,0.0002375034,0.000003770528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521888,"about_ca_system_score_gemma":0.000006602623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108716,"about_ca_topic_score_gemma":0.0002275922,"domain_scores_codex":[0.9982117,0.00003876296,0.001075712,0.0003058283,0.0001000287,0.0002679076],"domain_scores_gemma":[0.9982899,0.00004774823,0.001374632,0.0002103091,0.00001827053,0.00005913954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009384158,0.0002234166,0.8543147,0.00004710031,0.0002164766,0.0000382406,0.0007510714,0.00166238,0.000001961618,0.03002683,0.00005521916,0.1125687],"study_design_scores_gemma":[0.0009855382,0.0002851025,0.9783057,0.00001105536,0.0001798415,0.000003513796,0.0001654283,0.00118161,0.000002360268,0.001948936,0.01676009,0.0001708522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878375,0.01000317,0.0004461136,0.0001995767,0.0001992283,0.00017,0.0003030968,0.000002378207,0.0008389681],"genre_scores_gemma":[0.9424688,0.0564582,0.0007458863,0.0001876715,0.00004639588,0.00002590187,0.000006312018,0.00001127484,0.0000495709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.123991,"threshold_uncertainty_score":0.9781203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497949151206421,"score_gpt":0.2061260123819136,"score_spread":0.1911465208698493,"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."}}