{"id":"W2145273106","doi":"10.14430/arctic4367","title":"Quality Assessment of Meteorological Data for the Beaufort and Chukchi Sea Coastal Region using Automated Routines","year":2014,"lang":"en","type":"article","venue":"ARCTIC","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Ocean Energy Management","keywords":"Flagging; Environmental science; Meteorology; Data quality; Submarine pipeline; Climatology; Computer science; Geography; Oceanography; Cartography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007592702,0.00006977178,0.000140015,0.00001501579,0.0001423689,0.00002822779,0.0001767051,0.00003428817,0.0001189115],"category_scores_gemma":[0.0001222409,0.00004069628,0.00002368614,0.00005784278,0.0001005282,0.000107727,0.00004578868,0.00004865359,0.000001156023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001320332,"about_ca_system_score_gemma":0.00001508468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01119755,"about_ca_topic_score_gemma":0.01939765,"domain_scores_codex":[0.9993223,0.0000902523,0.0001587916,0.0001720231,0.0001107,0.0001459548],"domain_scores_gemma":[0.9987811,0.0007777896,0.00008534342,0.0002879818,0.00002844077,0.00003928753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002296693,0.000009270105,0.9968744,0.00004752068,0.00001534908,4.993145e-7,0.00005094967,0.0002002395,0.0001230616,0.00006998338,0.0001194107,0.002466382],"study_design_scores_gemma":[0.0001224346,0.00005930101,0.5835555,0.000006177024,0.00002215363,0.000009736909,0.00005675012,0.4154721,0.000003753896,0.000123239,0.0005308465,0.00003802065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964839,0.0001100891,0.0008482753,0.0006559406,0.0001274701,0.0001828201,0.001379719,0.00002916859,0.0001826446],"genre_scores_gemma":[0.9972224,0.00004927349,0.0006840248,0.0002322583,0.00007812519,7.052514e-7,0.001723874,0.000001849422,0.000007535399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4152719,"threshold_uncertainty_score":0.9984958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2222297033140385,"score_gpt":0.3711181120469194,"score_spread":0.1488884087328809,"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."}}