{"id":"W3023683984","doi":"10.5194/gmd-13-4959-2020","title":"Introducing LAB60: A 1∕60° NEMO 3.6 numerical simulation of the Labrador Sea","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Oceanography; Geology; Water mass; Arctic; Sea ice; Horizontal resolution; Eddy; Ocean current; The arctic; Climatology; Stratification (seeds); Meteorology; Geography; Turbulence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003746693,0.0005392837,0.0005789546,0.0002767539,0.0003381256,0.0008174789,0.001147129,0.0005853976,0.00474551],"category_scores_gemma":[0.0006223435,0.0002453529,0.0005694198,0.000375325,0.0004459585,0.0003490229,0.0008164443,0.000828766,0.0006239702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007975705,"about_ca_system_score_gemma":0.001063966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445095,"about_ca_topic_score_gemma":0.026039,"domain_scores_codex":[0.9998739,0.0000370655,0.00000575184,0.00001794813,0.00002658878,0.00003873721],"domain_scores_gemma":[0.9998186,0.00003860198,0.00001965394,0.00002886048,0.00004713835,0.00004724529],"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":[0.0002675995,0.0002008489,0.009917432,0.00006360186,0.00005954148,0.0001340827,0.00006077423,0.9695705,0.00467976,0.002615827,0.002919508,0.009510512],"study_design_scores_gemma":[0.0001701303,0.0001033044,0.00319151,0.00001482864,0.00001828709,0.00001627353,0.00004740759,0.9891643,0.002033388,0.000366037,0.004854614,0.00002000288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9253126,0.0001575444,0.02288038,0.0003392589,0.0001824181,0.000183214,0.004058793,0.001977648,0.044908],"genre_scores_gemma":[0.9578416,0.0001273703,0.03139225,0.0001575669,0.00002592433,0.000208756,0.004285287,0.000248246,0.005713004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03445095,"threshold_uncertainty_score":0.06850082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854817801635884,"score_gpt":0.2020800826761825,"score_spread":0.1835319046598237,"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."}}