{"id":"W6901865507","doi":"10.6073/pasta/e69c15b534bcb2e275362ef7c7987599","title":"Eddy Flux Measurements, Fen Station, Imnavait Creek, Alaska - 2017","year":2019,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Eddy covariance; The arctic; Atmosphere (unit); Flux (metallurgy); Precipitation; Carbon flux","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001320844,0.001405882,0.00121009,0.0003806276,0.0004805092,0.0003937696,0.004943188,0.0006679021,0.02925466],"category_scores_gemma":[0.0004177738,0.001647553,0.0001854847,0.0002454555,0.0007604388,0.002988196,0.004417717,0.001508806,0.2539455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754277,"about_ca_system_score_gemma":0.0003092901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00077474,"about_ca_topic_score_gemma":0.0008492781,"domain_scores_codex":[0.9909027,0.0009410591,0.001265004,0.002787877,0.002931103,0.001172237],"domain_scores_gemma":[0.9901094,0.0003267824,0.00171825,0.007390074,0.0000386532,0.000416867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001286886,0.0008825894,0.0006276467,0.00009552157,0.001136058,0.00008882294,0.0001631285,0.00001973258,0.0003942259,4.480173e-7,0.996345,0.0001180719],"study_design_scores_gemma":[0.001995577,0.0002826913,0.007055973,0.0002043651,0.0008635136,0.00002675215,0.0005126584,0.00002252642,0.000203415,0.00003306081,0.9871496,0.001649894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001865203,0.0006125343,0.00004368099,0.00003862233,0.001062666,0.002269996,0.9948635,0.0000923483,0.0008301288],"genre_scores_gemma":[0.0003245482,0.0005295404,0.0006096566,0.0007982409,0.000561279,0.0001894095,0.9954629,0.0003369653,0.001187472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2246909,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808347420833971,"score_gpt":0.3261229165598289,"score_spread":0.1452881744764318,"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."}}