{"id":"W2010994159","doi":"10.1016/j.solener.2008.04.008","title":"Spatial insolation models for photovoltaic energy in Canada","year":2008,"lang":"en","type":"article","venue":"Solar Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada","keywords":"Photovoltaic system; Environmental science; Insolation; Meteorology; Electricity generation; Solar energy; Latitude; Electricity; Photovoltaics; Climatology; Power (physics); Geography; Engineering; Geology; Geodesy; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009338847,0.0001472918,0.0001733683,0.0001358718,0.0001489821,0.00003148126,0.0004226698,0.00007526562,0.00001016157],"category_scores_gemma":[0.00002554516,0.0001606437,0.00005789263,0.0003546852,0.00001473749,0.000427175,0.00006322896,0.00007435827,0.000001103191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651637,"about_ca_system_score_gemma":0.001451778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9426536,"about_ca_topic_score_gemma":0.9646907,"domain_scores_codex":[0.9987332,0.00005738889,0.000274535,0.0003344686,0.0002759106,0.000324483],"domain_scores_gemma":[0.9992591,0.00009343312,0.00008882308,0.0003577637,0.00008543603,0.0001154709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001976498,0.0004219971,0.02190177,0.00005095361,0.0001283477,0.0002747767,0.003415884,0.2924618,0.02058853,0.4874475,0.02912942,0.1439814],"study_design_scores_gemma":[0.0005227387,0.00003024691,0.001305533,0.000004293967,0.000001565106,0.000013923,0.000008780416,0.9304383,0.01220258,0.00776706,0.04750187,0.0002030853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01685733,0.0001642742,0.9812593,0.00009031832,0.0005678915,0.00007254191,0.00001060562,0.00005908167,0.0009186434],"genre_scores_gemma":[0.9926654,0.00009198381,0.005269745,0.001501005,0.0001000174,0.00006473978,0.00003523496,0.00001658355,0.0002552692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759896,"threshold_uncertainty_score":0.655086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806981965478724,"score_gpt":0.1956998065534041,"score_spread":0.1776299868986169,"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."}}