{"id":"W4212807793","doi":"10.1177/10704965211070034","title":"Climate Finance Effectiveness: A Comparative Analysis of Geothermal Development in Indonesia and the Philippines","year":2022,"lang":"en","type":"article","venue":"The Journal of Environment & Development","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Climate Finance; Renewable energy; Developing country; Climate change; Finance; Geothermal gradient; Scale (ratio); Business; Economics; Work (physics); Environmental resource management; Natural resource economics; Economic growth; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.003653853,0.0002085602,0.0005130944,0.0001446433,0.0004147338,0.000009119375,0.0004510218,0.00002809533,0.0006462775],"category_scores_gemma":[0.000009487825,0.0001232553,0.00008700061,0.0004355469,0.0004681743,0.0001312082,0.0006558393,0.0002775186,0.00000997913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414902,"about_ca_system_score_gemma":0.00002783407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003006493,"about_ca_topic_score_gemma":0.00003426884,"domain_scores_codex":[0.9973687,0.0007062155,0.00072248,0.0001744717,0.0007296506,0.0002985101],"domain_scores_gemma":[0.9987416,0.0003761358,0.0006091166,0.0002178288,0.000003148618,0.00005214909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001128676,0.0003482336,0.1323863,0.000009543396,0.0005195166,0.00001087421,0.01376186,0.8448101,0.00216006,0.00009495928,0.00001926262,0.004750624],"study_design_scores_gemma":[0.001603552,0.00008865206,0.9891525,0.00002195939,0.0002114803,0.00002252621,0.0006774338,0.0004333213,0.003199241,0.00005108031,0.004378014,0.000160266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984336,0.0005655119,0.0002334723,0.0001946771,0.00004077837,0.0002566612,0.00000235209,0.000002290761,0.0002705976],"genre_scores_gemma":[0.9983535,0.0007912556,0.0006216813,0.0001308592,0.000006545031,0.00004464707,0.000003390878,0.000008499897,0.00003958122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8567662,"threshold_uncertainty_score":0.7076285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105338050665231,"score_gpt":0.2140762688658417,"score_spread":0.2035424637993186,"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."}}