{"id":"W4386888645","doi":"10.1016/j.renene.2023.119343","title":"Vertical free-swinging photovoltaic racking energy modeling: A novel approach to agrivoltaics","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Cost of electricity by source; Tilt (camera); Python (programming language); Wind speed; Rack; Marine engineering; Solar energy; Automotive engineering; Environmental science; Engineering; Meteorology; Electrical engineering; Electricity generation; Computer science; Mechanical engineering; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518815,0.0005154651,0.0006368194,0.0003383173,0.0007131518,0.001209813,0.001363172,0.001484467,0.006594937],"category_scores_gemma":[0.0005219486,0.000438833,0.000685792,0.0006375563,0.0004358842,0.0009272732,0.0009601855,0.0008104321,0.0006623524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129289,"about_ca_system_score_gemma":0.001004047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155213,"about_ca_topic_score_gemma":0.01932302,"domain_scores_codex":[0.9999056,0.0000203896,0.000003803135,0.00002115832,0.00002490286,0.00002414985],"domain_scores_gemma":[0.9998901,0.00004281861,0.00001270018,0.00001341132,0.00002739641,0.00001355425],"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":[0.000007910112,0.00001641712,0.00023617,0.00001140472,0.000006332339,0.00002480983,0.00001103951,0.9921406,0.0005814435,0.003617732,0.0002638358,0.003082396],"study_design_scores_gemma":[0.000001518834,0.00000388342,0.00005634875,0.000001413321,0.000001332354,0.000002745332,0.000006839772,0.998588,0.00007529876,0.000865405,0.0003957564,0.000001476874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1387096,0.0004962293,0.7382594,0.0008164707,0.0002210341,0.0001272157,0.001015575,0.0004777528,0.1198767],"genre_scores_gemma":[0.9477033,0.0002766774,0.02985314,0.0001709913,0.00005191965,0.0001147311,0.0003159902,0.0001319191,0.02138127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02155213,"threshold_uncertainty_score":0.04285342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008382915711707,"score_gpt":0.2208275672476342,"score_spread":0.2007437380905171,"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."}}