{"id":"W4283723967","doi":"10.21203/rs.3.rs-1797176/v1","title":"Towards Inclusive Green Growth in Africa: Critical energy efficiency synergies and governance thresholds","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Corporate governance; Green growth; Inclusive growth; Natural resource economics; Business; Economic system; Economic geography; Environmental resource management; Environmental economics; Economics; Ecology; Economic growth; Sustainable development; Biology","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001594847,0.0003522445,0.000378906,0.0001685206,0.0005087224,0.0001084936,0.0009975878,0.0003210165,0.00400465],"category_scores_gemma":[0.0007664511,0.0003367977,0.00009451219,0.000644646,0.00120075,0.0002565893,0.012305,0.001658754,0.00005080252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489617,"about_ca_system_score_gemma":0.0001146649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01750847,"about_ca_topic_score_gemma":0.001072598,"domain_scores_codex":[0.9945248,0.0006439852,0.0003398536,0.001055284,0.002264035,0.001172052],"domain_scores_gemma":[0.9984528,0.0004966128,0.0000691288,0.0006228423,0.00001994581,0.000338603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001015625,0.0051235,0.2958563,0.002986392,0.0001931066,0.005449915,0.02487879,0.2682807,0.002847118,0.3066366,0.03318496,0.05354701],"study_design_scores_gemma":[0.001032635,0.001075566,0.8055847,0.0006566042,0.00002978336,0.00004166061,0.002071844,0.004122987,0.001061159,0.1223007,0.06028795,0.001734387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781782,0.005591339,0.0001724536,0.008571585,0.000320635,0.0005932424,0.0002621592,0.0001035462,0.2062069],"genre_scores_gemma":[0.9939119,0.003366269,0.0001782367,0.00009098952,0.00008098472,0.0002709053,0.00003054968,0.0000437086,0.002026435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5097284,"threshold_uncertainty_score":0.9999084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162032888061771,"score_gpt":0.3266943249860481,"score_spread":0.2950739961054304,"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."}}