{"id":"W2962721674","doi":"10.1177/0309524x19862757","title":"Geographic information systems visualization of wind farm operational data to inform maintenance and planning discussions","year":2019,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada); Wind Energy Institute of Canada; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Profitability index; Wind power; Visualization; Computer science; Resource (disambiguation); Decision support system; Contingency; Operations research; Engineering; Business; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762445,0.0001161801,0.0001354391,0.0002773251,0.00003878663,0.00007471735,0.0001620986,0.00005198045,0.000009061206],"category_scores_gemma":[0.00005182384,0.0001012617,0.00001188721,0.0003155692,0.000006736294,0.0006920076,0.0001151739,0.00008422153,0.00001740511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262924,"about_ca_system_score_gemma":0.00001907685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808175,"about_ca_topic_score_gemma":0.000001338676,"domain_scores_codex":[0.999173,0.00000367813,0.0002641126,0.000100662,0.0002353257,0.00022318],"domain_scores_gemma":[0.9995689,0.00002287022,0.00001927987,0.000223028,0.0000547274,0.0001111582],"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":[0.000004292388,0.000002734975,0.003974095,0.0001924403,0.00002842068,5.227487e-7,0.0004463199,0.991388,0.001445961,0.001563891,0.0002006848,0.0007525926],"study_design_scores_gemma":[0.0003240932,0.00002832977,0.07201023,0.0003324941,0.000004414337,0.00000827404,0.0003290194,0.8901045,0.0002895465,0.000002390492,0.03633246,0.0002342342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489878,0.0002327612,0.04727335,0.0000419526,0.0006813733,0.000409046,0.00007419743,0.000191979,0.002107493],"genre_scores_gemma":[0.998702,0.00002316843,0.0008736579,0.00001378637,0.00004600545,0.000007060818,0.0002647744,0.00001464346,0.00005484969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012835,"threshold_uncertainty_score":0.4129332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424367698682952,"score_gpt":0.2381011342372798,"score_spread":0.2238574572504503,"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."}}