{"id":"W1978453443","doi":"10.1016/j.ocemod.2013.10.001","title":"Downscaling ocean conditions: Experiments with a quasi-geostrophic model","year":2013,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Geostrophic wind; Climatology; Environmental science; Geostrophic current; Meteorology; Geology; Oceanography; Climate change; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001887532,0.0002436605,0.0002102307,0.00004490733,0.0003043019,0.0001014303,0.0002547601,0.00009213107,0.001257948],"category_scores_gemma":[0.00000664309,0.0002085513,0.00007115665,0.0001583188,0.0001808951,0.0006602337,0.0001248102,0.0001902491,0.0004967406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444825,"about_ca_system_score_gemma":0.00001741879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005614489,"about_ca_topic_score_gemma":0.000005662024,"domain_scores_codex":[0.9982518,0.00003730063,0.000308453,0.0005392237,0.0003736748,0.0004895324],"domain_scores_gemma":[0.9992011,0.00004177071,0.00008813573,0.0004372023,0.00002244462,0.0002093786],"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":[0.00001332083,0.0001617369,0.001645326,0.00000945964,0.00001079085,0.000002139929,0.0008415905,0.9948471,0.001540903,0.0005084524,0.0003642792,0.00005486834],"study_design_scores_gemma":[0.0003525089,0.00006428484,0.00003024237,0.00003774071,0.00001853482,0.000006624564,0.0002261757,0.9867319,0.0004830988,0.011713,0.00004901057,0.0002869066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7579494,0.00001832524,0.2384509,0.0001332655,0.0000265638,0.0003415483,0.00001269208,0.0001148795,0.002952443],"genre_scores_gemma":[0.9755843,0.00002434338,0.02353157,0.0002842396,0.00002723236,0.00001776675,0.00003259791,0.0000387585,0.0004591612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176349,"threshold_uncertainty_score":0.999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753185319216231,"score_gpt":0.2359822853942165,"score_spread":0.2084504322020541,"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."}}