{"id":"W2310268176","doi":"10.1175/jcli-d-15-0326.1","title":"Mechanisms Determining the Winter Atmospheric Response to the Atlantic Overturning Circulation","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Équipement National De Calcul Intensif; Agence Nationale de la Recherche; European Commission","keywords":"Climatology; North Atlantic oscillation; Sea ice; Stratosphere; Geology; North Atlantic Deep Water; Shutdown of thermohaline circulation; Thermohaline circulation; Baroclinity; Atmosphere (unit); Anomaly (physics); Troposphere; Environmental science; Climate model; Atmospheric circulation; Forcing (mathematics); Atlantic Equatorial mode; Atmospheric sciences; Oceanography; Climate change; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002734535,0.0004595111,0.0003222813,0.0002785,0.0003326122,0.0007906409,0.0003627494,0.0005212263,0.001682844],"category_scores_gemma":[0.0007836617,0.0003174885,0.0006833796,0.0001499791,0.0002845996,0.0004488495,0.0004684712,0.0003807452,0.0001472196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685835,"about_ca_system_score_gemma":0.0004619217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009710961,"about_ca_topic_score_gemma":0.005040244,"domain_scores_codex":[0.9999245,0.00002085975,0.000005402195,0.00001687224,0.00000752727,0.00002483813],"domain_scores_gemma":[0.9997743,0.000061697,0.00004901059,0.00001988585,0.00002976399,0.00006540602],"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":[0.0005194565,0.0003606213,0.19833,0.0001244828,0.0007596005,0.00056513,0.0001815742,0.6763677,0.1073399,0.00549663,0.00175426,0.008200561],"study_design_scores_gemma":[0.0001428973,0.000113991,0.1183014,0.00001319472,0.000116771,0.00004666143,0.0001259355,0.8745784,0.003652045,0.002319259,0.0005566731,0.00003282212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996633,0.00008342369,0.001202858,0.0001372336,0.00002264718,0.00001172666,0.0002087434,0.00006712391,0.001633198],"genre_scores_gemma":[0.9996108,0.000028694,0.0001244495,0.00001253974,0.00000400438,0.000004347145,0.00007239474,0.000008263478,0.0001343811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009710961,"threshold_uncertainty_score":0.01930887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439482757065838,"score_gpt":0.2447129173817631,"score_spread":0.2303180898111047,"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."}}