{"id":"W271912962","doi":"10.3334/ornldaac/310","title":"BOREAS TE-01 CH4 Flux Data over the SSA-OA","year":2012,"lang":"en","type":"dataset","venue":"NASA Technical Reports Server (NASA)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transect; Oak Ridge National Laboratory; Methane; Environmental science; Flux (metallurgy); Soil water; Sampling (signal processing); Seasonality; Ridge; Hydrology (agriculture); Atmospheric sciences; Soil science; Chemistry; Ecology; Geography; Geology; Oceanography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005249232,0.001837203,0.001305491,0.002399474,0.0006246775,0.0012423,0.002125148,0.001217481,0.0196638],"category_scores_gemma":[0.001426775,0.0006810851,0.001128434,0.005139545,0.0002850567,0.001068735,0.0007413925,0.001671489,0.01750809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380856,"about_ca_system_score_gemma":0.002226343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08705985,"about_ca_topic_score_gemma":0.1194909,"domain_scores_codex":[0.9995635,0.00003346129,0.00003583715,0.0001363252,0.0001479829,0.00008279625],"domain_scores_gemma":[0.9991661,0.00008421897,0.0001146032,0.0001783864,0.0003255688,0.0001311241],"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":[0.0001985912,0.00008565944,0.004157601,0.0003870699,0.00008728688,0.00003989655,0.00003444678,0.00123334,0.0007535673,0.0005982951,0.9893232,0.003101034],"study_design_scores_gemma":[0.0005736879,0.0000381619,0.05157336,0.0001428244,0.0000825022,0.00009639443,0.000127996,0.002839296,0.003143624,0.001228598,0.9400805,0.00007305716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005694972,0.0000199739,0.00007569465,0.00002705816,0.00001455984,0.000009035343,0.9981849,0.0003473888,0.0007518984],"genre_scores_gemma":[0.001148777,0.00001782969,0.0002281691,0.00001324117,0.000004882912,0.00002410179,0.9981059,0.00005901456,0.0003979513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08705985,"threshold_uncertainty_score":0.1731062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949717399063989,"score_gpt":0.2604529396721516,"score_spread":0.2409557656815117,"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."}}