{"id":"W3168708046","doi":"10.1080/20430795.2021.1917929","title":"Mobilizing private sector investment for climate action: enhancing ambition and scaling up implementation","year":2021,"lang":"en","type":"article","venue":"Journal of Sustainable Finance & Investment","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"International Development Research Centre","keywords":"Private sector; Leverage (statistics); Business; Climate Finance; Investment (military); Multinational corporation; Public sector; Finance; Public economics; Developing country; Economics; Economic growth; Political science; Economy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01103472,0.0004404007,0.0003317824,0.001141813,0.001467403,0.00609083,0.0008842777,0.00188631,0.007257409],"category_scores_gemma":[0.02248975,0.00026249,0.0004433188,0.0008020759,0.002352596,0.004101918,0.007734375,0.002262248,0.000753551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004005474,"about_ca_system_score_gemma":0.02648371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031982,"about_ca_topic_score_gemma":0.00488328,"domain_scores_codex":[0.9929512,0.003472979,0.0001952818,0.0003013422,0.0008848286,0.002194484],"domain_scores_gemma":[0.9836932,0.006323465,0.002161491,0.001234368,0.00214862,0.004438828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003903942,0.003132154,0.08231415,0.002369802,0.0002022712,0.001337165,0.01165525,0.01641848,0.008640888,0.2579617,0.01999411,0.5955837],"study_design_scores_gemma":[0.0004254522,0.002595017,0.1673313,0.005968996,0.0002429164,0.0006341753,0.04497319,0.02282384,0.008051555,0.2923985,0.4543709,0.0001841183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5965344,0.004170502,0.06063997,0.1016568,0.0004272272,0.002092072,0.0002506364,0.0004109436,0.2338174],"genre_scores_gemma":[0.9886584,0.0009431526,0.006576821,0.001139952,0.00004643108,0.0002157713,0.00004322737,0.00001556332,0.002360724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01103472,"threshold_uncertainty_score":0.05835783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07930216320648122,"score_gpt":0.3031114516014111,"score_spread":0.2238092883949299,"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."}}