{"id":"W2010623674","doi":"10.1175/jcli3851.1","title":"Multimodel Multisignal Climate Change Detection at Regional Scale","year":2006,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Climatology; Forcing (mathematics); Northern Hemisphere; Environmental science; Climate model; Climate change; Middle latitudes; Greenhouse gas; Southern Hemisphere; Sulfate aerosol; Latitude; Spatial ecology; Radiative forcing; North Atlantic oscillation; Common spatial pattern; Global warming; Atmospheric sciences; Geography; Geology; Stratosphere; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001532715,0.0003797678,0.0005234635,0.0005929504,0.0003270722,0.0005917675,0.0005512044,0.0003861462,0.0009237195],"category_scores_gemma":[0.002996022,0.0002972599,0.0007095659,0.0004364148,0.0002553137,0.0006228802,0.0004592737,0.0005611797,0.00007963731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006367414,"about_ca_system_score_gemma":0.0007487066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971226,"about_ca_topic_score_gemma":0.01671555,"domain_scores_codex":[0.9996911,0.0001298057,0.00001343915,0.00009908504,0.00003332819,0.00003313936],"domain_scores_gemma":[0.9989848,0.0005725639,0.0001251197,0.0001368251,0.0001309811,0.00004970628],"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":[0.0003098696,0.0001585392,0.04425704,0.00003086267,0.0002661339,0.00004695755,0.00003524096,0.9307277,0.003862506,0.001287806,0.000402709,0.01861461],"study_design_scores_gemma":[0.0000251747,0.00001758792,0.004578571,9.745031e-7,0.00001321812,0.000003892551,0.000005456053,0.9942859,0.0005973818,0.000379784,0.00008653419,0.000005527732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551783,0.00004419208,0.04317557,0.0001343826,0.00002545975,0.0000197386,0.0004096443,0.0003370854,0.0006755204],"genre_scores_gemma":[0.9827407,0.000007194077,0.01683904,0.00001415092,0.000009050921,0.00001568931,0.0002437517,0.00002137909,0.0001089134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01971226,"threshold_uncertainty_score":0.03919506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764709511568755,"score_gpt":0.2520374314679429,"score_spread":0.2243903363522554,"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."}}