{"id":"W4395100917","doi":"10.26480/efcc.01.2023.45.50","title":"SOLAR ENERGY AND CARBON FOOTPRINT REDUCTION IN NIGERIA: AN IN-DEPTH ANALYSIS OF SOLAR POWER INITIATIVES, OUTCOMES, AND OBSTACLES IN ADDRESSING CLIMATE CHANGE","year":2023,"lang":"en","type":"article","venue":"Ecofeminism and Climate Change","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"YMCA of Greater Vancouver","funders":"","keywords":"Carbon footprint; Environmental economics; Reduction (mathematics); Solar power; Climate change; Solar energy; Carbon fibers; Power (physics); Natural resource economics; Footprint; Environmental science; Environmental resource management; Greenhouse gas; Geography; Computer science; Economics; Engineering; Electrical engineering; Mathematics; Geology; Physics","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":[0.0005752927,0.0002135978,0.0004246462,0.0004289816,0.00007378154,0.00002877693,0.00007660871,0.0001491699,0.00003990428],"category_scores_gemma":[0.00001507735,0.0002064316,0.00003156518,0.0006255841,0.000170195,0.0003766609,0.0002977919,0.0001162034,0.000001100673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007242312,"about_ca_system_score_gemma":0.000002208043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320251,"about_ca_topic_score_gemma":0.01113724,"domain_scores_codex":[0.9984324,0.0001207066,0.0003454862,0.0004531719,0.0001608625,0.0004873635],"domain_scores_gemma":[0.9995025,0.00005323885,0.0001322704,0.0001901534,0.000001954515,0.0001199162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000405461,0.0001077364,0.9703124,0.00004335481,0.000022246,0.00003794184,0.01851663,0.00009840187,0.002820266,0.00007883365,5.709412e-7,0.007921123],"study_design_scores_gemma":[0.0005158555,0.00009568162,0.9930282,0.00008777077,0.00003643788,0.000002770257,0.004537546,0.0007721654,0.0005575112,0.0001248431,0.00002299559,0.0002182264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980704,0.0004099477,3.113511e-7,0.0001185403,0.00007606038,0.0001288248,0.00003658327,0.00002071807,0.001138658],"genre_scores_gemma":[0.9836124,0.0161284,0.00003448752,0.00006493686,0.00001577375,0.0000616317,0.00005712442,0.00001968106,0.000005545444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271585,"threshold_uncertainty_score":0.8418034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229912308168392,"score_gpt":0.280257553241071,"score_spread":0.2279584301593871,"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."}}