{"id":"W3196605555","doi":"10.3390/su131810060","title":"Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Scheduling (production processes); Wind speed; Computer science; Environmental science; Decision support system; Operations research; Meteorology; Engineering; Operations management; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639737,0.000113248,0.0001616671,0.00007344133,0.000067618,0.00002092966,0.00005748725,0.00009321934,0.00002451745],"category_scores_gemma":[0.001553437,0.000113411,0.0000990316,0.0003310392,0.00003927612,0.00006654708,0.00001006317,0.0001119026,7.093103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902911,"about_ca_system_score_gemma":0.0003611731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003094015,"about_ca_topic_score_gemma":0.000020397,"domain_scores_codex":[0.9992018,0.0000543005,0.000231083,0.0002221597,0.0001099926,0.0001806759],"domain_scores_gemma":[0.9984543,0.0002485503,0.00003352588,0.0002817321,0.0009311638,0.00005073606],"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":[0.00003784137,0.00004621347,0.03154837,0.0004310457,0.0000187002,3.506367e-7,0.0003714904,0.9578517,0.0001855895,0.001064767,0.000007832288,0.008436067],"study_design_scores_gemma":[0.0004036278,0.00005203662,0.005357603,0.0000144214,0.00003246414,5.375884e-7,0.002396707,0.9767171,0.01178917,0.002645634,0.0004209968,0.0001697042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5052477,0.00005660923,0.4936096,0.00004193483,0.00007133365,0.0005360319,0.00002045141,0.00007802107,0.000338384],"genre_scores_gemma":[0.9781219,4.520903e-7,0.02163958,0.00001171709,0.00005095263,0.00007282279,0.00002444035,0.00001818138,0.00005999283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4728742,"threshold_uncertainty_score":0.4624767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277668607766195,"score_gpt":0.2577541714799061,"score_spread":0.2449774854022441,"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."}}