{"id":"W2782254146","doi":"10.1002/wene.282","title":"Diffusion of solar PV in East Africa: What can be learned from private sector delivery models?","year":2018,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Energy and Environment","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Electrification; Photovoltaic system; Photovoltaics; Environmental economics; Rural electrification; General partnership; Grid; Business; Sustainability; Renewable energy; Electricity; Service (business); Marketing; Engineering; Economics; Finance; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004505085,0.000422317,0.0003131701,0.001042842,0.00129919,0.004935034,0.0007426617,0.0009353858,0.005588515],"category_scores_gemma":[0.01126785,0.0002679121,0.0003556057,0.001746731,0.0009314633,0.006038601,0.001700257,0.001053577,0.0003912954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008103678,"about_ca_system_score_gemma":0.007168681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04047958,"about_ca_topic_score_gemma":0.04165615,"domain_scores_codex":[0.9978289,0.001203452,0.00009141461,0.000138414,0.0002801895,0.0004575245],"domain_scores_gemma":[0.993304,0.004551885,0.0009148627,0.0002399115,0.0006272589,0.0003621233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005576123,0.001323521,0.1076782,0.005162703,0.0001585958,0.002266936,0.09490132,0.004955004,0.001616961,0.1121368,0.00711209,0.6621304],"study_design_scores_gemma":[0.0003573777,0.003644825,0.2798744,0.01195713,0.0004588928,0.002707274,0.3871794,0.02020776,0.00465499,0.02630068,0.2624409,0.0002163716],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895506,0.01392233,0.00446173,0.02539667,0.0001322929,0.0004803032,0.000310514,0.00005743925,0.05973278],"genre_scores_gemma":[0.9800184,0.0129723,0.001790756,0.0004719154,0.00002652339,0.0001670478,0.00007826385,0.00002201858,0.004452787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04047958,"threshold_uncertainty_score":0.08048791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082083579955119,"score_gpt":0.2349494777892159,"score_spread":0.1941286419896647,"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."}}