{"id":"W2755242794","doi":"10.1016/j.jweia.2017.09.010","title":"Novel techniques in wind engineering","year":2017,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canada Foundation for Innovation","keywords":"Mesoscale meteorology; Microscale chemistry; Context (archaeology); Wind engineering; Meteorology; Computer science; Scale (ratio); Wind power; Geology; Marine engineering; Engineering; Geography; Mathematics; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004438564,0.0008139081,0.0006060232,0.001283908,0.0007245237,0.001082289,0.0008470163,0.0009970517,0.006180457],"category_scores_gemma":[0.0009903569,0.0004372756,0.0006771687,0.0008054536,0.001406775,0.002816127,0.001630147,0.002103133,0.002270182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303339,"about_ca_system_score_gemma":0.0002899336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001969058,"about_ca_topic_score_gemma":0.0003325634,"domain_scores_codex":[0.9996676,0.0000821818,0.00002170837,0.00006293577,0.0001433582,0.00002214966],"domain_scores_gemma":[0.9997165,0.0001044841,0.00002535999,0.00006581019,0.0000649233,0.00002291381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004740836,0.0001056983,0.0002457496,0.0004269907,0.00004479309,0.0002049073,0.0002797212,0.006100803,0.04212273,0.7516844,0.006020625,0.1927161],"study_design_scores_gemma":[0.00005091093,0.000214058,0.0008806483,0.0002502895,0.00005514615,0.001824941,0.0001959095,0.1044275,0.01903268,0.6704209,0.202555,0.00009197869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01379978,0.01364348,0.9085452,0.001160978,0.002081376,0.00007780615,0.00006874309,0.0002920527,0.06033044],"genre_scores_gemma":[0.2093035,0.02044425,0.6787314,0.0005193012,0.002454421,0.000254424,0.0001389885,0.0002779358,0.08787579],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006180457,"threshold_uncertainty_score":0.02067572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016114585296476,"score_gpt":0.2118034869472188,"score_spread":0.1956889016507428,"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."}}