{"id":"W6986835840","doi":"","title":"The representation of the Pacific/North American pattern and North Atlantic oscillation in the Canadian seasonal to interannual prediction system, and their association with surface air temperature and various flow features","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geopotential height; Predictability; Teleconnection; Geopotential; Forecast skill; Empirical orthogonal functions; Sea surface temperature; Forcing (mathematics); Field (mathematics); Air temperature","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":[0.0002032746,0.00027444,0.00008933307,0.0006707659,0.0005029637,0.0008392184,0.0003116751,0.0001286273,0.001423156],"category_scores_gemma":[0.00126484,0.0001102267,0.0002255025,0.001193434,0.0002281627,0.0002227137,0.0002520939,0.0002368725,0.0001331798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310223,"about_ca_system_score_gemma":0.009550396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517214,"about_ca_topic_score_gemma":0.9707766,"domain_scores_codex":[0.9998281,0.00001276168,0.000006391399,0.00003089504,0.00008151607,0.00004024305],"domain_scores_gemma":[0.9996247,0.00002975783,0.00005238999,0.00002380679,0.0002270361,0.00004218974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001163421,0.00006126654,0.7851154,0.00007510851,0.0002010439,0.0001620749,0.0003487061,0.1003135,0.009743653,0.006849099,0.008323945,0.08868978],"study_design_scores_gemma":[0.00000769175,0.00001258844,0.8621969,0.00001545651,0.00004818107,0.00003540561,0.0002286583,0.1310896,0.0009649604,0.0008648117,0.004512111,0.00002371658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751369,0.0002950277,0.004564315,0.0004453732,0.00005149913,0.00003498577,0.005362587,0.0001642943,0.013945],"genre_scores_gemma":[0.9942417,0.0001667934,0.002312002,0.00001792553,0.000005783361,0.000005804115,0.001771253,0.00001441086,0.001464371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04827857,"threshold_uncertainty_score":0.09712571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007000945070812126,"score_gpt":0.2013665199952171,"score_spread":0.194365574924405,"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."}}