{"id":"W2911918367","doi":"10.1002/joc.6012","title":"Statistical and synoptic analyses of offshore wind variations","year":2019,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Pacific Institute for Climate Solutions","keywords":"Wind speed; Climatology; Maximum sustained wind; Environmental science; Offshore wind power; Meteorology; Submarine pipeline; Global wind patterns; Synoptic scale meteorology; Wind power; Wind direction; Sea breeze; Atmospheric circulation; Wind shear; Prevailing winds; Geology; Atmospheric sciences; Wind gradient; Oceanography; Geography","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":[0.001845971,0.0001721187,0.0002402284,0.003482713,0.0003927748,0.0007705112,0.0001836311,0.0001280311,0.001588598],"category_scores_gemma":[0.005313175,0.0001745798,0.0002928271,0.004479013,0.00045747,0.0004615794,0.0005198412,0.000221923,0.0001658644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645851,"about_ca_system_score_gemma":0.0005746188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886234,"about_ca_topic_score_gemma":0.048229,"domain_scores_codex":[0.9988569,0.0002699757,0.0001611314,0.0002703462,0.0003373277,0.0001042891],"domain_scores_gemma":[0.9948989,0.001968574,0.001462233,0.0004634412,0.001008262,0.0001986891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007419137,0.0000178088,0.9777594,0.00003691234,0.000220436,0.0001076344,0.0003711639,0.002592838,0.001455443,0.0005445838,0.0005678955,0.01625166],"study_design_scores_gemma":[9.336948e-7,0.00001257078,0.9966516,0.000002451644,0.00000980363,0.00002352711,0.0002773455,0.002485363,0.00006287138,0.00008121154,0.0003884023,0.000003965674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908661,0.0001836991,0.004108589,0.00004106748,0.00001440241,0.00004305527,0.001744749,0.00005238744,0.002945879],"genre_scores_gemma":[0.9968829,0.00007927887,0.0009387868,0.000005985855,0.00001454225,0.00003562904,0.001536005,0.00001214916,0.0004946653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02886234,"threshold_uncertainty_score":0.05738872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030762347420149,"score_gpt":0.3250879692549963,"score_spread":0.3047803457807948,"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."}}