{"id":"W2580027604","doi":"10.1002/2016gl071895","title":"Gyre‐scale deep convection in the subpolar North Atlantic Ocean during winter 2014–2015","year":2017,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut national des sciences de l'Univers; European Regional Development Fund; Horizon 2020 Framework Programme; Ministerio de Economía y Competitividad; Centre National de la Recherche Scientifique; Equipex; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Ocean gyre; Thermocline; Argo; Geology; Mixed layer; Oceanography; Deep sea; Convection; Thermohaline circulation; Climatology; Convective mixing; Structural basin; Deep convection; Oceanic basin; Deep water; North Atlantic Deep Water; Subtropics; Meteorology; Geography; Geomorphology","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":[0.0003090308,0.0001830974,0.000217155,0.0004743175,0.0002864166,0.000510536,0.000189143,0.0002432481,0.0005740311],"category_scores_gemma":[0.000431967,0.0001121477,0.0002393041,0.0002600575,0.000250835,0.0003136769,0.0005072941,0.0001670762,0.0001691549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226047,"about_ca_system_score_gemma":0.0002928483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03205727,"about_ca_topic_score_gemma":0.06101735,"domain_scores_codex":[0.9999015,0.00001299295,0.000008683644,0.0000318335,0.00001588175,0.00002909696],"domain_scores_gemma":[0.9997738,0.00002240356,0.0000765142,0.00002057683,0.0000431901,0.00006356293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002625722,0.00005034054,0.9857423,0.00001967476,0.0001224074,0.000083663,0.0003043832,0.000740263,0.007095702,0.00006307143,0.0005772141,0.00493845],"study_design_scores_gemma":[0.000003219062,0.0000157775,0.9986211,0.000003915131,0.00001100416,0.00001106163,0.0001187365,0.0006413193,0.0002352394,0.00001129431,0.0003242003,0.000003196699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993985,0.00003308123,0.00003510059,0.00001991642,0.000007214901,0.000001593962,0.0002895981,0.00000567672,0.0002093028],"genre_scores_gemma":[0.9991893,0.00002217935,0.00005049813,0.00001100517,0.000007194079,0.000002503024,0.0005610443,0.000002210572,0.0001541201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03205727,"threshold_uncertainty_score":0.06374139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844627685308914,"score_gpt":0.2667042848444793,"score_spread":0.2482580079913901,"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."}}