{"id":"W6964961498","doi":"10.3334/ornldaac/2114","title":"ABoVE/ASCENDS: Merged Atmospheric CO2, CH4, and Meteorological Data, 2017","year":2022,"lang":"en","type":"other","venue":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Troposphere; Water vapor; Relative humidity; Wind speed; Atmosphere (unit); Humidity; Methane; Lidar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257334,0.001276854,0.0007111704,0.001333908,0.0007005986,0.00128728,0.001513724,0.0006775293,0.01161857],"category_scores_gemma":[0.001000553,0.0003333779,0.0008005244,0.002448817,0.0003058063,0.001212373,0.001168066,0.001096118,0.01258104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009354068,"about_ca_system_score_gemma":0.002672353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0915234,"about_ca_topic_score_gemma":0.1446146,"domain_scores_codex":[0.9996169,0.0000325659,0.00002783839,0.00008571025,0.0001539328,0.00008301256],"domain_scores_gemma":[0.999366,0.00002901713,0.0000544542,0.0001539752,0.0002771461,0.0001195459],"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":[0.0004123175,0.0001726253,0.01705429,0.0003192554,0.0001419153,0.000124284,0.000119499,0.00424578,0.002356309,0.001013787,0.9617031,0.01233686],"study_design_scores_gemma":[0.0005065121,0.00005983897,0.09169425,0.0001914278,0.00007471053,0.00007725011,0.0005906182,0.009910719,0.006177392,0.001641812,0.8889375,0.0001380543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006085741,0.0000647837,0.0002487915,0.0001005224,0.0001278983,0.00003142562,0.9893563,0.0009131599,0.003071324],"genre_scores_gemma":[0.005405293,0.00003554681,0.0006888476,0.00003152067,0.00002605456,0.0000355867,0.9928213,0.0001360862,0.0008198558],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0915234,"threshold_uncertainty_score":0.1819814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684123828396879,"score_gpt":0.2336521994332052,"score_spread":0.2168109611492364,"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."}}