{"id":"W4297876583","doi":"10.1002/joc.7878","title":"The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations","year":2022,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"Mitacs","keywords":"Climatology; Multivariate statistics; Environmental science; Econometrics; Climate change; Climate model; Multivariate analysis; Statistics; Geology; Mathematics; Oceanography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03851082,0.0004439003,0.0006195413,0.001291429,0.0006999116,0.001650318,0.001091783,0.0008764985,0.001284355],"category_scores_gemma":[0.2375663,0.0003891912,0.001093566,0.001496663,0.004754008,0.00272779,0.003198057,0.002093534,0.0001194336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015658,"about_ca_system_score_gemma":0.001009081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008614493,"about_ca_topic_score_gemma":0.0009021458,"domain_scores_codex":[0.9584951,0.03144905,0.002220579,0.002454722,0.004826169,0.0005543596],"domain_scores_gemma":[0.7892705,0.1666472,0.01404706,0.02261993,0.006846315,0.0005689042],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007818175,0.000200504,0.1150094,0.0009053005,0.001165803,0.0006611468,0.002652845,0.1924465,0.007933656,0.458159,0.002483161,0.2176008],"study_design_scores_gemma":[0.0001770451,0.0005985789,0.08603933,0.0004070839,0.0004355108,0.0008689428,0.0009617853,0.4159301,0.01328533,0.4728203,0.008236625,0.0002393762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1110554,0.0006675342,0.8812987,0.002024803,0.000178371,0.0001146704,0.00006793916,0.0002342856,0.004358287],"genre_scores_gemma":[0.8874406,0.0002136357,0.1110926,0.0003308332,0.0001942917,0.0001574874,0.00003583881,0.0001462487,0.0003884542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9614892,"threshold_uncertainty_score":0.2036671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461252281434452,"score_gpt":0.3096699763169301,"score_spread":0.2750574535025855,"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."}}