{"id":"W2736407661","doi":"10.1002/joc.5203","title":"Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; McMaster University","keywords":"Quantile; Standard deviation; Homogenization (climate); Mean squared error; Statistics; Environmental science; Mathematics; Climatology; 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":[0.001175139,0.0003202314,0.0004101332,0.001023137,0.0009115948,0.001242356,0.0006633442,0.0002105498,0.0004515299],"category_scores_gemma":[0.004372282,0.0002559134,0.0003413135,0.003066459,0.0004841709,0.0003203963,0.000756529,0.0003426245,0.00006383711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008411816,"about_ca_system_score_gemma":0.006136856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976683,"about_ca_topic_score_gemma":0.9742911,"domain_scores_codex":[0.9989874,0.0001055141,0.00005485029,0.0002529749,0.000451319,0.000147904],"domain_scores_gemma":[0.9977599,0.0003877618,0.0003209227,0.0002104179,0.001219485,0.0001013805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000304322,0.00003486446,0.9256371,0.00005990695,0.0003233988,0.0002114704,0.001091741,0.03805505,0.003555909,0.0005616711,0.0008757868,0.02928881],"study_design_scores_gemma":[0.000008042246,0.00001190661,0.9708415,0.0000149713,0.0000483927,0.00002564835,0.0004699374,0.02633059,0.0008383674,0.0002068339,0.001175532,0.0000282233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950656,0.0001178914,0.002288895,0.00003800806,0.000003734626,0.00001439727,0.001080575,0.00003757923,0.001353501],"genre_scores_gemma":[0.9978137,0.00004542019,0.001175491,0.000007269199,0.000001582767,0.000004703515,0.0007320915,0.000006571773,0.0002132153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02331704,"threshold_uncertainty_score":0.06103224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034954743484854,"score_gpt":0.2927677854362617,"score_spread":0.2424182380014132,"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."}}