{"id":"W2901625390","doi":"10.1175/jpo-d-17-0273.1","title":"Water Mass Transformation in the Greenland Sea during the Period 1986–2016","year":2018,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Bergens Forskningsstiftelse; Norges Forskningsråd","keywords":"Ocean gyre; Water mass; Hydrography; Geology; Convection; Water column; Oceanography; Thermohaline circulation; Climatology; Mixed layer; Atmospheric sciences; Meteorology; Geography","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":[0.0003230294,0.0004048515,0.0002123384,0.001079482,0.0002376824,0.0006685752,0.0002108917,0.0002854423,0.0005492671],"category_scores_gemma":[0.0004239094,0.0001297183,0.0004712609,0.001344696,0.0002882443,0.0004587047,0.0005777326,0.0001866659,0.0002186732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120606,"about_ca_system_score_gemma":0.0008998305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1152713,"about_ca_topic_score_gemma":0.1679025,"domain_scores_codex":[0.9998792,0.00000868799,0.00001305775,0.00003776134,0.00002693315,0.00003429302],"domain_scores_gemma":[0.9997674,0.00001169069,0.0001166325,0.00001537964,0.00005708923,0.00003180853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002045577,0.00003313099,0.9821203,0.00006365103,0.000110889,0.0004660948,0.0004305957,0.002068677,0.004502325,0.0001466207,0.0008269181,0.009026178],"study_design_scores_gemma":[0.000001950135,0.00001170118,0.9980583,0.000008074411,0.000008410581,0.00003059703,0.0001251135,0.0004938885,0.000292659,0.00001713793,0.0009491398,0.00000306896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965916,0.000197827,0.00008492692,0.00006210194,0.00001640967,0.000006002183,0.002462812,0.00001182565,0.0005665438],"genre_scores_gemma":[0.9951863,0.0001683168,0.0001600201,0.00004143839,0.00001360037,0.000006932094,0.003715997,0.000006091203,0.0007012738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1152713,"threshold_uncertainty_score":0.2292008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005606329812716248,"score_gpt":0.1978068200277247,"score_spread":0.1922004902150084,"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."}}