{"id":"W1971514885","doi":"10.1029/2012jc008151","title":"Modeling seasonal to interannual ocean variability of coastal British Columbia","year":2012,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Hindcast; Forcing (mathematics); Climatology; Wind stress; Oceanography; Current (fluid); Environmental science; Geology; Ocean general circulation model; Ocean current; Boundary current; General Circulation Model; Climate change","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001935814,0.0003854877,0.0002793856,0.0006125403,0.0009513638,0.001168485,0.001198413,0.0004812039,0.002009056],"category_scores_gemma":[0.001058923,0.0003217355,0.000350552,0.00120337,0.0002655327,0.0003398308,0.0004954512,0.000574756,0.0002048271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008608456,"about_ca_system_score_gemma":0.006194437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9384338,"about_ca_topic_score_gemma":0.9339643,"domain_scores_codex":[0.9998418,0.00002199903,0.000007428983,0.0000479367,0.00003059458,0.00005025832],"domain_scores_gemma":[0.9996742,0.00005738165,0.00003831577,0.00002306559,0.0001476651,0.00005928558],"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":[0.0001811896,0.0001082804,0.1414456,0.00005261496,0.0002334409,0.0002916267,0.0001619574,0.8348706,0.003343893,0.002158398,0.005207988,0.01194448],"study_design_scores_gemma":[0.00004736808,0.00001880383,0.07468024,0.00001629222,0.00004746843,0.00002341212,0.0001495558,0.9201743,0.0005568474,0.0003869152,0.003866827,0.00003200305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839625,0.0002316811,0.002121285,0.0003122406,0.00003185137,0.0000348592,0.003945259,0.0002182595,0.009142091],"genre_scores_gemma":[0.9946014,0.0001236834,0.0009229594,0.00003441776,0.000003873716,0.00002616668,0.001602778,0.00002890515,0.002655899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06156623,"threshold_uncertainty_score":0.1238576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246406281934453,"score_gpt":0.2783267676694497,"score_spread":0.2558627048501051,"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."}}