{"id":"W3041456415","doi":"10.5194/egusphere-egu2020-10091","title":"Changes of decadal SST Variations in the subpolar North Atlantic under strong CO2 forcing as an indicator for the ocean circulation’s contribution to Atlantic Multidecadal Variability","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":"","funders":"","keywords":"Atlantic multidecadal oscillation; Climatology; North Atlantic Deep Water; Forcing (mathematics); Thermohaline circulation; Ocean current; Atlantic hurricane; Environmental science; Gulf Stream; North Atlantic oscillation; Advection; Atlantic Equatorial mode; Latitude; Oceanography; Sea surface temperature; Geology; Physics","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":[0.0003846461,0.0003860395,0.0002806891,0.0002582264,0.0002370973,0.0006292411,0.0003443223,0.0004292248,0.001230955],"category_scores_gemma":[0.0009797997,0.0001390756,0.0006658597,0.000356596,0.000392027,0.0003617062,0.0003546273,0.000493029,0.0001087458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630157,"about_ca_system_score_gemma":0.0002762353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01454469,"about_ca_topic_score_gemma":0.01064692,"domain_scores_codex":[0.999908,0.00002149497,0.000005450407,0.00003058304,0.0000113127,0.00002312114],"domain_scores_gemma":[0.999643,0.0001460944,0.00006191345,0.00004572928,0.00004108767,0.00006212134],"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":[0.000501628,0.000294315,0.2392609,0.00008504994,0.0006928198,0.0002955362,0.00008859707,0.7252058,0.02148786,0.001507184,0.002912947,0.007667416],"study_design_scores_gemma":[0.00006343223,0.0001476048,0.1874475,0.000009678547,0.0000888819,0.00003974017,0.00009171862,0.8078872,0.003195217,0.0004184962,0.0005787987,0.00003163263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978255,0.00004632881,0.0005246777,0.00008355163,0.00001710135,0.000003576391,0.000644549,0.00005612019,0.0007985019],"genre_scores_gemma":[0.9989461,0.00002430781,0.0002264086,0.00001731539,0.000005488897,0.00000579669,0.0006609755,0.00001230689,0.0001011699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01454469,"threshold_uncertainty_score":0.02892005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040029237895559,"score_gpt":0.2791169258578475,"score_spread":0.2390876879622885,"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."}}