{"id":"W2045984166","doi":"10.3137/ao.420204","title":"Associations between low frequency variability modes and winter temperature extremes in Canada","year":2004,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Arctic oscillation; El Niño Southern Oscillation; Environmental science; Northern Hemisphere; Pacific decadal oscillation; La Niña; Quasi-biennial oscillation; Atmospheric sciences; Multivariate ENSO index; The arctic; Singular spectrum analysis; Stratosphere; Geology; Oceanography; Singular value decomposition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001672552,0.0001485243,0.0001722467,0.001016269,0.0009174786,0.0008275897,0.0002967395,0.0001690775,0.001307342],"category_scores_gemma":[0.0007805776,0.0001285088,0.0002016982,0.002000972,0.0003150348,0.0001333211,0.0003848271,0.0002399578,0.00008086563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005074843,"about_ca_system_score_gemma":0.005989558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9713449,"about_ca_topic_score_gemma":0.9868684,"domain_scores_codex":[0.9998326,0.000009826764,0.00000877346,0.00003445831,0.00005673337,0.00005751814],"domain_scores_gemma":[0.9990922,0.00008456443,0.0001764989,0.00002520513,0.0004356287,0.0001858453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008239563,0.00001012448,0.993416,0.00001607013,0.00005648465,0.0000667977,0.0002135351,0.0004118827,0.001047956,0.0001113785,0.0005220341,0.004045411],"study_design_scores_gemma":[0.000001295544,0.00000393691,0.999201,0.000003491577,0.000006757318,0.00001275729,0.0001338712,0.0003025682,0.00005566112,0.00001607514,0.0002595108,0.000003031782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969914,0.0001941461,0.00007924925,0.00006608602,0.000003416335,0.000003098227,0.001651743,0.00000735132,0.001003566],"genre_scores_gemma":[0.9987614,0.00008332199,0.00005201224,0.000008562625,0.000001631424,0.000001604426,0.0007251633,0.000002399038,0.0003638812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865505,"threshold_uncertainty_score":0.05764759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844656370777492,"score_gpt":0.2068636766558675,"score_spread":0.19701902028509,"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."}}