{"id":"W1844857947","doi":"10.1029/2012jc008354","title":"Atlantic water variability on the SE Greenland continental shelf and its relationship to SST and bathymetry","year":2012,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Bathymetry; Continental shelf; Geology; Oceanography; Water mass; Fjord; Water column; Iceberg; Greenland ice sheet; Sea surface temperature; Climatology; Sea ice; Ice sheet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003140177,0.00008964167,0.0001562539,0.00008275905,0.0003317414,0.0000674515,0.0001518225,0.00004488652,0.0002446153],"category_scores_gemma":[0.00109284,0.00004344366,0.00004452669,0.0001295077,0.0001591404,0.0002635489,0.00004618014,0.0006475963,0.0001110577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009372238,"about_ca_system_score_gemma":0.00003385857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002187848,"about_ca_topic_score_gemma":0.00003407213,"domain_scores_codex":[0.9982947,0.0003927822,0.0002025566,0.000117642,0.00057067,0.0004216697],"domain_scores_gemma":[0.9966725,0.002686212,0.00004003816,0.0001040187,0.0001260664,0.0003712205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001852389,0.00006638946,0.994092,0.00001842978,0.00002166742,0.00001044784,0.001201468,0.000007154355,0.0000881531,0.002327037,0.0003478311,0.001634145],"study_design_scores_gemma":[0.0001876494,0.0003791632,0.9936305,0.00002877249,0.00001463089,0.00005524163,0.0003659801,0.001815034,0.00002776619,0.002573004,0.0008540556,0.00006819143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941279,0.00003208885,0.00006194018,0.004892931,0.0000998652,0.0001263114,0.00001370671,0.000002877442,0.0006424126],"genre_scores_gemma":[0.9989759,0.00004120275,0.00008576422,0.0001888828,0.0003940593,2.398503e-7,0.000004382974,0.000003099784,0.0003064904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004848011,"threshold_uncertainty_score":0.281352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392010445930304,"score_gpt":0.2953511332790653,"score_spread":0.2514310288197623,"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."}}