{"id":"W3179108088","doi":"10.5194/egusphere-egu2020-15262","title":"Investigating tropical and midlatitude drivers of Arctic atmospheric energy transport","year":2020,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Middle latitudes; Arctic; Atmospheric sciences; Climatology; Environmental science; Energy transport; The arctic; Physics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002016497,0.0001906817,0.0001835362,0.0002449924,0.0002042053,0.0006100426,0.0002254841,0.0002355431,0.001442636],"category_scores_gemma":[0.0006135371,0.0001899605,0.0004334557,0.0003088044,0.0002047045,0.000538858,0.0003858789,0.0002945553,0.0000751972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418959,"about_ca_system_score_gemma":0.0007754948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03303835,"about_ca_topic_score_gemma":0.02347608,"domain_scores_codex":[0.9999329,0.00001891673,0.000004604715,0.00001743662,0.00001003889,0.0000161411],"domain_scores_gemma":[0.9998106,0.00008267759,0.00003961406,0.00001579482,0.00003120162,0.00002007801],"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":[0.0001432617,0.0001164628,0.2280361,0.00006710909,0.0001783155,0.000408418,0.0002751122,0.7238531,0.01598744,0.02016591,0.0009217223,0.009847085],"study_design_scores_gemma":[0.00002016478,0.00003103717,0.08227278,0.000007657864,0.00003811023,0.00003997679,0.0001880259,0.9123132,0.001921783,0.002344007,0.0008031851,0.00002001881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995396,0.0000598765,0.001769732,0.0001074656,0.000006825383,0.000004927394,0.0001842705,0.00002123947,0.002449681],"genre_scores_gemma":[0.9990338,0.00007449947,0.0003659056,0.000009349707,0.00000432231,0.000003889725,0.0001001564,0.00000645535,0.0004017185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303835,"threshold_uncertainty_score":0.06569207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650271502455159,"score_gpt":0.198715715826101,"score_spread":0.1822130008015494,"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."}}