{"id":"W3025149763","doi":"10.7939/r3-v8dn-8b10","title":"Soil CO2 Efflux in Response to Forest Disturbances and its Spatial Variation in a Boreal Mixedwood Forest","year":2019,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Environmental science; Boreal; Spatial variability; Forestry; Agroforestry; Soil science; Geography; Mathematics","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":[0.0008204522,0.0003302648,0.0003297457,0.0009565048,0.0005583998,0.0006500689,0.0004043643,0.0002304951,0.0005077607],"category_scores_gemma":[0.0008965505,0.0001570785,0.0006942879,0.0020581,0.0004176174,0.0004048435,0.0003157832,0.0003220543,0.0000691575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157587,"about_ca_system_score_gemma":0.00125706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3462321,"about_ca_topic_score_gemma":0.5232973,"domain_scores_codex":[0.9996603,0.00003852916,0.00002448105,0.0001468272,0.0000727273,0.00005723968],"domain_scores_gemma":[0.9992835,0.0001517336,0.0002055469,0.00005957156,0.0002148444,0.00008480257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001593932,0.00001993417,0.985235,0.0001211629,0.0005670387,0.0001064625,0.0005379104,0.0005343503,0.003060175,0.00009399158,0.0004959137,0.009068739],"study_design_scores_gemma":[0.000001256151,0.00000953363,0.9989355,0.000008005231,0.00007024931,0.00002953971,0.0001987446,0.0002664579,0.0001291358,0.00001784558,0.000328498,0.000005157305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944747,0.002987958,0.0004287414,0.00009317986,0.00001557896,0.00000815765,0.001222873,0.00002574559,0.0007430373],"genre_scores_gemma":[0.998044,0.0004584498,0.0003800986,0.00002969293,0.000008013471,0.000006841048,0.0008992212,0.000006357855,0.0001672474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3462321,"threshold_uncertainty_score":0.6884336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002594030860778427,"score_gpt":0.1522866152429808,"score_spread":0.1496925843822024,"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."}}