{"id":"W4319998089","doi":"10.1016/j.ribaf.2023.101886","title":"How much finance is in climate finance? A bibliometric review, critiques, and future research directions","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Horizon 2020","keywords":"Climate Finance; Finance; Climate science; Climate change; Social studies of finance; Dimension (graph theory); Economics; Ecology; Economic growth; Developing country","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":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.005562145,0.0002364696,0.000569171,0.02205411,0.0003689309,0.0003909178,0.0005533482,0.0002203066,0.00004483659],"category_scores_gemma":[0.001103017,0.0002672293,0.00005847092,0.06449719,0.0003611611,0.001092953,0.0005399126,0.0009648067,0.0001047544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300659,"about_ca_system_score_gemma":0.0001216532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378952,"about_ca_topic_score_gemma":0.0002327928,"domain_scores_codex":[0.9965801,0.000107946,0.0006752536,0.001055558,0.0003930991,0.001188016],"domain_scores_gemma":[0.9980302,0.0004101147,0.0001597075,0.0004586441,0.0008896317,0.00005168532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001383624,0.00035246,0.2519364,0.001990939,0.00002356815,0.0005959016,0.0006319836,0.00001761623,0.000009528041,0.5307257,0.04334936,0.1702282],"study_design_scores_gemma":[0.0004567591,0.00004050034,0.4382076,0.0008167236,6.089605e-7,0.00001339068,0.0001908564,0.0009660859,0.000007532808,0.03906541,0.520035,0.0001995345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5878975,0.2714247,0.00002525205,0.1287146,0.0007839791,0.001017916,0.0005100479,0.00005644911,0.009569629],"genre_scores_gemma":[0.3906589,0.6048303,0.0001413802,0.0001694664,0.0002302948,0.0004170806,0.00002967165,0.000024982,0.003497925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4916603,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209193559081831,"score_gpt":0.3860568244863355,"score_spread":0.2651374685781524,"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."}}