{"id":"W2335563122","doi":"10.1109/tsg.2016.2533164","title":"Estimating Power Generation of Invisible Solar Sites Using Publicly Available Data","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Photovoltaic system; Solar power; Electricity generation; Electric power system; Power (physics); Computer science; Scale (ratio); Engineering; Reliability engineering; 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":[0.000614099,0.0006248168,0.0005235536,0.001447411,0.0002219008,0.0008290511,0.0008403695,0.000622184,0.0005811049],"category_scores_gemma":[0.003729051,0.0003759464,0.0006122534,0.001883696,0.0002563718,0.001092051,0.000619013,0.0008090347,0.0002803502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006110494,"about_ca_system_score_gemma":0.000607139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667521,"about_ca_topic_score_gemma":0.02327677,"domain_scores_codex":[0.9995814,0.0000990941,0.00003053444,0.0001451061,0.000101932,0.00004199119],"domain_scores_gemma":[0.9985587,0.0005451217,0.0003709819,0.0003014831,0.0001813499,0.00004242591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001158874,0.000192526,0.1418721,0.0001179573,0.0001837304,0.0002293501,0.0001259809,0.7882408,0.002448039,0.002061263,0.002218401,0.06219406],"study_design_scores_gemma":[0.00002122126,0.00002570402,0.04340009,0.00001895755,0.00002986272,0.00005288169,0.0000804384,0.9517218,0.001868951,0.001869558,0.0008904327,0.00002013791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8171406,0.0002867754,0.1676111,0.0003326377,0.00003715569,0.0001068157,0.01034363,0.001066561,0.003074884],"genre_scores_gemma":[0.9785159,0.0001237125,0.01669354,0.00001417721,0.00002523642,0.00004251222,0.004216772,0.00002043955,0.0003477061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667521,"threshold_uncertainty_score":0.03315628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123112898712262,"score_gpt":0.2901840376223142,"score_spread":0.1670711389100522,"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."}}