{"id":"W4299831343","doi":"10.17190/amf/1881564","title":"AmeriFlux FLUXNET-1F CA-DB2 Delta Burns Bog 2","year":2022,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bog; FluxNet; Delta; Environmental science; Geography; Peat; Biology; Ecology; Archaeology; Eddy covariance; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456854,0.001544868,0.001057593,0.003640386,0.0007174218,0.00169002,0.001934799,0.001220826,0.04821822],"category_scores_gemma":[0.002249589,0.0005847541,0.0008779294,0.005640617,0.0002995492,0.001087574,0.001209959,0.0009974227,0.0502624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696548,"about_ca_system_score_gemma":0.001956377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0615456,"about_ca_topic_score_gemma":0.08530902,"domain_scores_codex":[0.9992856,0.00008342529,0.00007449154,0.000243272,0.0001778489,0.0001354352],"domain_scores_gemma":[0.9990233,0.0001345302,0.0001550772,0.0001968759,0.0003740582,0.000116158],"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":[0.00007739146,0.00002004576,0.002058498,0.0005514415,0.00003212145,0.00003392487,0.00004005405,0.0002585918,0.0001681943,0.0005284249,0.9941623,0.002069068],"study_design_scores_gemma":[0.0002089792,0.00001343865,0.01271844,0.0002082211,0.00002310038,0.00005960026,0.000102573,0.0003350519,0.0002579712,0.0005116206,0.9855368,0.00002428492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002147082,0.00003236833,0.00003347412,0.00001988602,0.000008126567,0.000007507071,0.9989356,0.00018078,0.0005674593],"genre_scores_gemma":[0.0003766234,0.00002125238,0.000166667,0.00001739399,0.000003688924,0.00004707417,0.998903,0.00006141223,0.0004027443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9384544,"threshold_uncertainty_score":0.161306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006623901260428983,"score_gpt":0.2061132391459944,"score_spread":0.1994893378855654,"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."}}