{"id":"W2107397524","doi":"10.1111/gcb.12800","title":"Pyrogenic organic matter production from wildfires: a missing sink in the global carbon cycle","year":2014,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; Natural Resources Canada","funders":"Leverhulme Trust","keywords":"Environmental science; Carbon cycle; Carbon sink; Organic matter; Sink (geography); Production (economics); Carbon fibers; Climate change; Chemistry; Ecosystem; Geography; Ecology; Computer science; Geology; Economics; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003899848,0.0001739329,0.0001887342,0.0000114414,0.00006795854,0.00002407589,0.0003685623,0.0001553762,0.0002389498],"category_scores_gemma":[0.00008138222,0.0001273938,0.00004138745,0.0003707839,0.0001347342,0.00008578334,0.0001432702,0.00009055316,0.0009086092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501387,"about_ca_system_score_gemma":0.000006200502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03228586,"about_ca_topic_score_gemma":0.007451912,"domain_scores_codex":[0.9983189,0.0004593812,0.0001905794,0.0004881451,0.0001381209,0.0004048885],"domain_scores_gemma":[0.9994128,0.0000410462,0.00008689714,0.0003999725,0.000003744289,0.00005554827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001640774,0.00004388673,0.9877108,0.000004771625,0.000006682846,0.000003551119,0.0002346185,9.778578e-7,0.002454649,0.00001913943,0.0002970457,0.009207414],"study_design_scores_gemma":[0.0002628642,0.0001093669,0.9910704,0.00002187428,0.00001505784,0.00005421002,0.00004988218,0.001265724,0.0001052837,0.002805347,0.004044953,0.0001950579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928501,0.0002483792,0.00002156204,0.002972532,0.0008196232,0.0004231211,0.00002597053,0.0000482158,0.002590452],"genre_scores_gemma":[0.9978494,0.000004959085,0.0000625228,0.001503058,0.0004964723,0.00004699973,0.00002377612,0.000008181726,0.000004630354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483394,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011436073094978,"score_gpt":0.2288737726203151,"score_spread":0.2174376995253371,"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."}}