{"id":"W3204861523","doi":"10.3389/feart.2021.742840","title":"Long-Term Maximum and Minimum Temperature Projections Over Metro Vancouver, Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Downscaling; Environmental science; Climate change; Climatology; Weather Research and Forecasting Model; Maximum temperature; Correlation coefficient; Term (time); Degree (music); Mean squared error; Meteorology; Precipitation; Statistics; Geography; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001523173,0.0004682716,0.0002240805,0.0003320429,0.0006749655,0.0006532681,0.0005755863,0.0003473493,0.001101963],"category_scores_gemma":[0.0003545551,0.0001910967,0.0003543495,0.0007302591,0.0001950047,0.0001954278,0.0002905429,0.0003608829,0.0002229759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007783618,"about_ca_system_score_gemma":0.009898138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9826115,"about_ca_topic_score_gemma":0.9866425,"domain_scores_codex":[0.9998828,0.000009508332,0.000003993584,0.00002222286,0.00004410496,0.00003729091],"domain_scores_gemma":[0.9997674,0.000008845539,0.00001344684,0.000006706376,0.0001719087,0.0000317864],"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":[0.0004182762,0.0001249823,0.2839027,0.0002064705,0.0002231435,0.0007694231,0.0002851668,0.6523259,0.008194376,0.001106825,0.009036847,0.04340594],"study_design_scores_gemma":[0.00006861268,0.00004344773,0.2346218,0.00003737147,0.00006217253,0.00004710822,0.0005509954,0.757474,0.001854501,0.0002216835,0.004960721,0.00005760293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879389,0.0001906686,0.001711774,0.00026178,0.00001483193,0.00002420685,0.0052631,0.0001312324,0.004463367],"genre_scores_gemma":[0.9914004,0.0002186123,0.001303175,0.00002694354,0.000003140176,0.00001484658,0.004853729,0.00001289551,0.00216633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738846,"threshold_uncertainty_score":0.05647439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00614131932859893,"score_gpt":0.2087288227712003,"score_spread":0.2025875034426013,"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."}}