{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002428243,0.000118305,0.0004213549,0.000009597893,0.0002036011,0.0002328626,0.0005581302,0.00007690767,0.002000714],"category_scores_gemma":[0.001315697,0.0001250663,0.0002089964,0.000818755,0.0002844128,0.00074738,0.00008075706,0.0006417788,0.0000304555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000115176,"about_ca_system_score_gemma":0.000320693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03080184,"about_ca_topic_score_gemma":0.01080199,"domain_scores_codex":[0.9966651,0.0003535762,0.0005647379,0.0001959819,0.001464798,0.0007558632],"domain_scores_gemma":[0.9972175,0.0007153308,0.0001354709,0.0001668335,0.0009853933,0.0007794442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002561134,0.000343339,0.9421253,0.00006685087,0.00007877155,0.00002267592,0.0002928479,0.002426699,0.00004117404,0.00002413362,0.004607726,0.04971438],"study_design_scores_gemma":[0.0005099404,0.001406803,0.965477,0.0002525623,0.00002778923,0.00007349708,0.001420306,0.02499541,0.00004266002,0.004169762,0.00138757,0.0002367157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966615,0.000538372,0.001265525,0.0001025693,0.0002269059,0.0001277937,0.00007252952,0.0000101984,0.0009946163],"genre_scores_gemma":[0.9942459,0.00006377796,0.004711433,0.00004995993,0.0006823528,3.191263e-7,0.000004986211,0.00000750564,0.0002337531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04947766,"threshold_uncertainty_score":0.9989116,"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."}}