{"id":"W4389839234","doi":"10.1016/j.ocemod.2023.102307","title":"The Impacts of Air-Sea Fluxes and Model Resolution on Seasonal and Inter-Annual Variability of the Atlantic Meridional Overturning Circulation across the OSNAP West Section","year":2023,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Seventh Framework Programme","keywords":"Climatology; Gulf Stream; North Atlantic Deep Water; Water mass; Oceanography; Geology; Forcing (mathematics); Ocean current; North Atlantic oscillation; Climate model; Thermohaline circulation; Environmental science; Climate change","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002221198,0.0003697678,0.0003260153,0.0002660831,0.0005626474,0.001493031,0.0006371912,0.0006519837,0.001771697],"category_scores_gemma":[0.006314248,0.0003191205,0.0005661965,0.0005156256,0.0004422474,0.00132724,0.0005290976,0.0005808798,0.0002063562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007353594,"about_ca_system_score_gemma":0.0008263486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06103865,"about_ca_topic_score_gemma":0.09122489,"domain_scores_codex":[0.9994228,0.0001850871,0.00005573957,0.0001473493,0.00009149945,0.00009756529],"domain_scores_gemma":[0.9966359,0.002275213,0.0002263698,0.000277189,0.0004171901,0.0001682931],"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":[0.001231472,0.0003658908,0.5548878,0.0001957105,0.0005929201,0.0004748232,0.0003846042,0.3933165,0.01824226,0.002997113,0.003506365,0.02380448],"study_design_scores_gemma":[0.0001504557,0.0001348999,0.6547847,0.00007629334,0.0002232745,0.0001110667,0.0004422098,0.3337951,0.006184284,0.0006641297,0.003367487,0.00006620395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948078,0.0001694309,0.000717178,0.0003213024,0.00005260948,0.000006745525,0.001065791,0.00007200169,0.002787056],"genre_scores_gemma":[0.9978518,0.00008735873,0.0005160306,0.00004560592,0.0000138567,0.00000699671,0.000807417,0.00004218872,0.0006287714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103865,"threshold_uncertainty_score":0.1213667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858924139082199,"score_gpt":0.2464419618204448,"score_spread":0.2278527204296228,"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."}}