{"id":"W3109120557","doi":"","title":"Quantifying Cold Season Soil CO2 Emissions in Alaska and Northwest Canada","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Climatology; Physical geography; Atmospheric sciences; Meteorology; Hydrology (agriculture); Geology; Geography","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":[0.000404392,0.0003875943,0.0002812328,0.001263461,0.002128796,0.001377797,0.0005009348,0.0004794592,0.0008165988],"category_scores_gemma":[0.000640069,0.0002207431,0.0003992409,0.001651095,0.0004007358,0.0005357195,0.0005675028,0.0002888658,0.0001101802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016373,"about_ca_system_score_gemma":0.007984541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798798,"about_ca_topic_score_gemma":0.9894577,"domain_scores_codex":[0.9998165,0.00001252962,0.00001337628,0.00005945533,0.00004809571,0.00005011657],"domain_scores_gemma":[0.9995956,0.00005472287,0.00003611453,0.00001571978,0.0002227955,0.00007508661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003704718,0.00008113414,0.9427726,0.00005642925,0.000317514,0.0002919622,0.0005548437,0.03093378,0.006435741,0.000297632,0.001238068,0.01664972],"study_design_scores_gemma":[0.00002896364,0.00002590769,0.9763875,0.00002845728,0.0001319044,0.00004554587,0.001891996,0.01549208,0.002914472,0.0002200648,0.002797302,0.00003577174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965328,0.00019702,0.0001345547,0.00004428831,0.000005750651,0.000007799836,0.001222999,0.00001690491,0.001837887],"genre_scores_gemma":[0.9975843,0.0001610731,0.0003343431,0.00001919785,0.000002106161,0.000005784373,0.001039487,0.000006144047,0.0008475601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0201202,"threshold_uncertainty_score":0.07374346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134075941450165,"score_gpt":0.2499111318739767,"score_spread":0.208570372459475,"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."}}