{"id":"W1590751632","doi":"","title":"A neural network based wake model for small wind turbine siting near obstacles","year":2010,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Centres of Excellence","keywords":"Wake; Turbine; Artificial neural network; Computer science; Wind power; Environmental science; Marine engineering; Meteorology; Engineering; Aerospace engineering; Geography; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002211493,0.0001025486,0.0001388179,0.00001099113,0.0006519706,0.00001302661,0.0003800483,0.00004877635,0.00016821],"category_scores_gemma":[0.00001988374,0.00008865174,0.0001245442,0.0001292755,0.0003606164,0.0001059246,0.0002394798,0.0001449205,0.00002532484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001792523,"about_ca_system_score_gemma":0.00001212191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003222513,"about_ca_topic_score_gemma":0.0008959754,"domain_scores_codex":[0.9993374,0.0000205241,0.00007244598,0.0001799085,0.0001254488,0.0002642291],"domain_scores_gemma":[0.9995129,0.0001197684,0.00008114613,0.0002166922,0.00001431776,0.00005515357],"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":[0.0002982105,0.0001187069,0.03195913,0.00004012933,0.00006210927,0.00001195881,0.004344102,0.7504613,0.1907626,0.0002933022,0.01171729,0.009931178],"study_design_scores_gemma":[0.000576081,0.00004855208,0.1345301,0.000006852813,0.00005353782,0.000001179444,0.0005407198,0.859624,0.00008662589,0.000405604,0.003983356,0.0001433571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930723,0.00002076145,0.002794857,0.003009703,0.00009703714,0.0001797589,0.00001918634,0.00003227897,0.0007741015],"genre_scores_gemma":[0.989043,0.000002464291,0.009723865,0.0001994637,0.00008100752,1.828804e-7,0.000005400829,0.000008299448,0.0009363351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190676,"threshold_uncertainty_score":0.5014497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816602793865999,"score_gpt":0.1948859503460182,"score_spread":0.1767199224073582,"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."}}