{"id":"W2932251442","doi":"10.1007/978-3-030-05636-0_2","title":"A Review of Wind Energy Resource Assessment in the Urban Environment","year":2019,"lang":"en","type":"review","venue":"Lecture notes in energy","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Resource (disambiguation); Environmental resource management; Wind power; Environmental science; Wind resource assessment; Energy (signal processing); Environmental planning; Geography; Computer science; Meteorology; Engineering; Wind direction; Wind speed; Electrical engineering; Mathematics; Statistics","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":[0.001525666,0.001418789,0.002373779,0.005157142,0.0003326893,0.001711346,0.001501982,0.001567809,0.003939677],"category_scores_gemma":[0.002543408,0.0005588197,0.0009740239,0.008012407,0.0006304801,0.002444884,0.0009962574,0.001297487,0.001231348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218534,"about_ca_system_score_gemma":0.002718554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038487,"about_ca_topic_score_gemma":0.007648646,"domain_scores_codex":[0.9994629,0.00009863124,0.0001121086,0.0001026284,0.0001891337,0.00003459358],"domain_scores_gemma":[0.9979094,0.001228886,0.0002586376,0.00004631645,0.0004751784,0.00008160075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005119935,0.00006705772,0.0002911344,0.06176667,0.0001848769,0.0001213221,0.00005762803,0.0009092017,0.0007670333,0.003904052,0.02805177,0.903828],"study_design_scores_gemma":[0.00001937199,0.0001227561,0.001908221,0.03211114,0.0005222022,0.0005493983,0.0001710041,0.0003211906,0.000490333,0.003516887,0.9602118,0.00005562385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006737291,0.9988706,0.0001956318,0.0001900854,0.0002023472,0.000003499421,0.00002912611,0.000003921738,0.0004374974],"genre_scores_gemma":[0.0004357501,0.9988451,0.0002634727,0.0001129427,0.0001500216,0.000003523483,0.00003169765,0.000001246424,0.0001562268],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005157142,"threshold_uncertainty_score":0.01317954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839653263454255,"score_gpt":0.269966606279421,"score_spread":0.2515700736448785,"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."}}