{"id":"W2003727810","doi":"10.1029/2001jd001244","title":"Modeling soil thermal and carbon dynamics of a fire chronosequence in interior Alaska","year":2002,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chronosequence; Environmental science; Black spruce; Taiga; Soil respiration; Soil carbon; Ecosystem; Growing season; Ecosystem respiration; Atmospheric sciences; Vegetation (pathology); Boreal; Carbon cycle; Soil water; Primary production; Climatology; Ecology; Soil science; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008524149,0.0001227283,0.0003278966,0.00001735662,0.00004763747,0.00003462256,0.0003777841,0.00006944512,0.0002324534],"category_scores_gemma":[0.0003535357,0.00009747577,0.00007505077,0.00034801,0.0003352362,0.0002841013,0.0002493432,0.0006091719,0.00002275843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968596,"about_ca_system_score_gemma":0.00002659401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006576195,"about_ca_topic_score_gemma":0.001518731,"domain_scores_codex":[0.997819,0.0002844792,0.0004417254,0.0001926536,0.0008570836,0.000405071],"domain_scores_gemma":[0.9991559,0.0003011326,0.0001296489,0.0001864356,0.00005587801,0.0001709883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000882717,0.001564707,0.2477319,0.0005083487,0.0001544349,0.0009289992,0.005272968,0.08203418,0.2182245,0.0001318265,0.0004212254,0.4421443],"study_design_scores_gemma":[0.0004185428,0.0007059403,0.02417771,0.0002326221,0.000004154255,0.00002060708,0.0002145293,0.9730642,0.0007768581,0.0002849968,0.000009400275,0.00009037652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980919,0.0003455486,0.00003226691,0.000278464,0.00004982986,0.0001370934,0.000001510993,0.000003978746,0.0010594],"genre_scores_gemma":[0.9993584,0.0001105037,0.000295271,0.0000080498,0.00007262203,0.000004481622,1.431426e-7,0.00001588908,0.0001346662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8910301,"threshold_uncertainty_score":0.9941284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890314162792418,"score_gpt":0.2701218221996182,"score_spread":0.251218680571694,"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."}}