{"id":"W4318777984","doi":"10.1016/j.jobe.2023.105966","title":"The Vatic Weather File Generator (VWFG v1.0.0)","year":2023,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Emissions Reduction Alberta; Ontario Centres of Excellence; University of Guelph","keywords":"Downscaling; Environmental science; Meteorology; Climate change; Quantile; Climate model; Sensible heat; Climatology; Computer science; Geography; Econometrics; Mathematics","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":[0.0009479992,0.001693827,0.001088723,0.001847954,0.0003718082,0.001765147,0.003359865,0.001174536,0.1667153],"category_scores_gemma":[0.005403352,0.001230834,0.001166424,0.002527442,0.0002745225,0.001768331,0.001219052,0.001820635,0.09003153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920466,"about_ca_system_score_gemma":0.0006759096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564436,"about_ca_topic_score_gemma":0.004129187,"domain_scores_codex":[0.9996221,0.00006451742,0.00004589807,0.0001027255,0.0001094854,0.00005518515],"domain_scores_gemma":[0.9988351,0.000409105,0.00006592603,0.0003095667,0.0003018249,0.00007842683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002908296,0.00006681775,0.001603354,0.0006306014,0.00009332023,0.0002415594,0.000175109,0.0111882,0.001757368,0.00406598,0.9261505,0.05373646],"study_design_scores_gemma":[0.00130513,0.000091481,0.005180439,0.0002823893,0.00009446164,0.0003650174,0.0001082881,0.1235451,0.01346406,0.0223885,0.8329696,0.0002055094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.004602863,0.0002223424,0.1088818,0.0002661646,0.0004119626,0.0002764466,0.3165512,0.5453982,0.02338895],"genre_scores_gemma":[0.05636644,0.0004482146,0.1248352,0.0003195452,0.0002148122,0.00122714,0.5507002,0.2464986,0.01938978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1667153,"threshold_uncertainty_score":0.5577184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158921125644996,"score_gpt":0.215428272245049,"score_spread":0.2038390609885991,"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."}}