{"id":"W2045103865","doi":"10.1029/2006eo490005","title":"Fifty years of ocean observations in the Pacific Northeast","year":2006,"lang":"en","type":"article","venue":"Eos","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Ocean gyre; Subarctic climate; Oceanography; Environmental science; Sampling (signal processing); Pacific ocean; Climatology; Weather station; Meteorology; Geography; Geology; Fishery; Subtropics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001049483,0.00003808513,0.00005377486,0.000009288886,0.00003719756,0.0000127568,0.0001350953,0.00001797161,0.0001282185],"category_scores_gemma":[0.00001032005,0.00002631517,0.00002274003,0.0003807661,0.00005219585,0.00007284232,0.000001968594,0.00004818749,0.00001311408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":3.764171e-7,"about_ca_system_score_gemma":0.00001701155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586046,"about_ca_topic_score_gemma":0.002260837,"domain_scores_codex":[0.9995989,0.00002010706,0.0001037778,0.00006847233,0.0001129164,0.00009581765],"domain_scores_gemma":[0.9997952,0.00006980019,0.00002330678,0.00008909168,0.00001123572,0.00001135955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001811347,0.00001297845,0.9933058,0.000004419371,0.000001053383,0.000002447973,0.00017562,0.0004635488,0.000001078474,0.00008931756,0.0007543327,0.005187615],"study_design_scores_gemma":[0.00004614245,0.00001591429,0.9924113,0.000005019423,0.000002160744,0.00000135259,0.0005306983,0.0005068926,0.000002865044,0.0008798504,0.005562099,0.0000356966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928364,0.0003093167,0.0000224445,0.0002023236,0.00004032037,0.0000529996,0.00002281846,0.000009704397,0.006503649],"genre_scores_gemma":[0.999431,0.00001844358,0.0003202225,0.00005652611,0.00003797028,1.708574e-7,0.00003762846,8.857692e-7,0.00009720252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006594527,"threshold_uncertainty_score":0.2397637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173737157305692,"score_gpt":0.1785755651418511,"score_spread":0.1668381935687942,"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."}}