{"id":"W3031854412","doi":"","title":"Resolving Spatial and Temporal Greenhouse Gas Dynamics across a Heterogeneous Arctic Tundra Landscape in the Western Canadian Arctic","year":2019,"lang":"en","type":"article","venue":"AGUFM","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tundra; Arctic; Environmental science; The arctic; Greenhouse gas; Climatology; Geography; Physical geography; Oceanography; Geology","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":[0.0006184729,0.0004522447,0.0005481635,0.002231295,0.002617039,0.001995671,0.001122156,0.0006635411,0.001123876],"category_scores_gemma":[0.001186194,0.0003483313,0.0005929622,0.003355006,0.0006768887,0.0005876726,0.0007934848,0.0003985298,0.0001475301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009356641,"about_ca_system_score_gemma":0.01069275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9868314,"about_ca_topic_score_gemma":0.9935888,"domain_scores_codex":[0.9996557,0.00002895021,0.00001360768,0.00009345072,0.00005183761,0.0001564299],"domain_scores_gemma":[0.9995255,0.00005684055,0.0000505831,0.00003319175,0.0002334125,0.0001004268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003480049,0.0001891895,0.9025085,0.0001324384,0.0006387861,0.0004142355,0.001819135,0.03757546,0.01407114,0.0008009992,0.003747011,0.03775505],"study_design_scores_gemma":[0.00002427653,0.000009641887,0.9602252,0.00003189836,0.0001133357,0.00004923239,0.002134557,0.03262,0.0005839479,0.0001575725,0.004012818,0.00003751555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962657,0.0004199898,0.0004252651,0.0001691292,0.00001307614,0.000009319143,0.00133058,0.00006080369,0.001306218],"genre_scores_gemma":[0.9972524,0.000161828,0.001022641,0.0000429065,0.000006163314,0.000006709638,0.001105044,0.00001892258,0.0003834525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316857,"threshold_uncertainty_score":0.06788754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953038158147857,"score_gpt":0.2299595911739463,"score_spread":0.2104292095924677,"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."}}