{"id":"W4306648082","doi":"10.1002/sd.2403","title":"Economic globalisation and inclusive green growth in Africa: Contingencies and policy‐relevant thresholds of governance","year":2022,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sustainability; Corporate governance; Language change; Globalization; Government (linguistics); Socioeconomic status; Development economics; Economics; Public economics; Economic growth; Economic system; Political science; Ecology; Biology; Sociology; Market economy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002629922,0.0002303613,0.0003982027,0.001182857,0.0005394573,0.002550909,0.00021726,0.0002727549,0.00349885],"category_scores_gemma":[0.01128702,0.0001353596,0.0002584133,0.002355006,0.0021649,0.002125827,0.002409058,0.0007714119,0.0001021613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351703,"about_ca_system_score_gemma":0.000845784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006518033,"about_ca_topic_score_gemma":0.00655485,"domain_scores_codex":[0.99856,0.0006465705,0.00006930199,0.0001299163,0.0001341824,0.0004600398],"domain_scores_gemma":[0.9894229,0.005637695,0.003596297,0.0003630174,0.0004963003,0.0004838156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002580719,0.0001257056,0.8440765,0.0002624023,0.000224227,0.000590101,0.001744306,0.0214001,0.0008317224,0.1091649,0.001308829,0.02001324],"study_design_scores_gemma":[0.00003132582,0.0001799784,0.9169031,0.0002535151,0.0001500156,0.0001587638,0.007240476,0.01251171,0.001175908,0.052952,0.008408287,0.00003498427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852068,0.0007453696,0.0013987,0.0009933793,0.000008451815,0.00002080302,0.0003532151,0.00001029206,0.0112631],"genre_scores_gemma":[0.9997098,0.00009173273,0.00007131096,0.00001057332,0.000002017546,0.000004829134,0.00003312042,9.851129e-7,0.00007569889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006518033,"threshold_uncertainty_score":0.01390851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000671331718235,"score_gpt":0.1917514602457975,"score_spread":0.1817447469286151,"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."}}