{"id":"W3024832742","doi":"10.3390/su12104053","title":"Powering the Commercial Sector in Nigeria Using Urban Swarm Solar Electrification","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Electrification; Electricity; Business; Quarter (Canadian coin); Obstacle; Constraint (computer-aided design); Rural electrification; Electricity retailing; Environmental economics; Photovoltaic system; Grid; Natural resource economics; Industrial organization; Economics; Electricity market; Engineering; Electrical engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001395581,0.0001407212,0.00006711669,0.0002169808,0.0006394733,0.0008942782,0.0001686489,0.0001979121,0.002104478],"category_scores_gemma":[0.0001491253,0.00008410192,0.00007982785,0.0003390362,0.0004719865,0.0008646733,0.0007839582,0.0002314526,0.0002362824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475613,"about_ca_system_score_gemma":0.0006078641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712577,"about_ca_topic_score_gemma":0.009260126,"domain_scores_codex":[0.9999352,0.00002215306,0.000003626935,0.000007759845,0.00001669898,0.00001469705],"domain_scores_gemma":[0.9999423,0.00001500681,0.00001212103,0.000005522254,0.00001471223,0.00001028897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002924326,0.0005211629,0.06347524,0.001265805,0.00005344918,0.006904393,0.01133038,0.05229342,0.04348899,0.3645906,0.01100111,0.444783],"study_design_scores_gemma":[0.0002021281,0.0009314497,0.0686038,0.00191855,0.000103171,0.00480744,0.1051323,0.1773522,0.04112593,0.1533748,0.4463461,0.000102053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724405,0.001098195,0.02546387,0.002319762,0.00005700161,0.0001296872,0.00007800593,0.00007013002,0.1983428],"genre_scores_gemma":[0.9910965,0.0007488765,0.002908342,0.00003751789,0.000004424435,0.00001256743,0.00002052629,0.000003997056,0.005167371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002712577,"threshold_uncertainty_score":0.007040203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446069752409408,"score_gpt":0.2239934301005141,"score_spread":0.20953273257642,"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."}}