{"id":"W3035743122","doi":"10.1139/cjce-2019-0280","title":"Numerical analysis of the ground-mounted solar PV panel array mounting systems subjected to basic wind for optimum design","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council of Scientific and Industrial Research, India","keywords":"Workbench; Wind speed; Wind engineering; Tilt (camera); Structural engineering; Wind direction; Engineering; Marine engineering; Meteorology; Mechanical engineering; Physics; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002759731,0.0001346104,0.0003534944,0.0001372404,0.0001229038,0.00004792145,0.0003227734,0.00004006022,0.00007924683],"category_scores_gemma":[0.0003153821,0.0001054594,0.0001936664,0.001084715,0.00002784996,0.0001219621,0.00001829446,0.0001505813,0.000003242331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097667,"about_ca_system_score_gemma":0.00007837937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451604,"about_ca_topic_score_gemma":0.003721989,"domain_scores_codex":[0.9989492,0.0000296843,0.0003557988,0.000133938,0.0002102196,0.0003211877],"domain_scores_gemma":[0.9991993,0.0001003362,0.0001401594,0.0001085483,0.00004147561,0.0004101503],"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":[0.000006902106,0.000003513766,0.007136772,0.00002011303,0.0002599102,0.000007306032,0.001001703,0.9718263,0.01914225,0.000007236747,0.0005279505,0.00005999893],"study_design_scores_gemma":[0.0008385648,0.0003441495,0.1863473,0.0002821681,0.001134613,0.000040536,0.001354819,0.7916027,0.005292845,0.000009205997,0.01209929,0.0006537373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4855863,0.0003152899,0.511579,0.001349424,0.0005370536,0.0003548929,0.00003408859,0.00001558086,0.0002283182],"genre_scores_gemma":[0.9989147,0.000001581023,0.0007746794,0.0001316079,0.0001377586,0.000002940643,7.387533e-7,0.00001747148,0.00001854786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5133284,"threshold_uncertainty_score":0.4300511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814163795193225,"score_gpt":0.1934074386432085,"score_spread":0.1752658006912763,"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."}}