{"id":"W3109855650","doi":"","title":"Production, Stocks and Characteristics of Wildfire Charcoal in Canadian Boreal Forests; a Preliminary Synthesis","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Charcoal; Taiga; Boreal; Environmental science; Forestry; Geography; Agroforestry; Archaeology","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":[0.002939986,0.0008394727,0.00079014,0.004271707,0.001854011,0.001942896,0.001285244,0.0004338244,0.003826846],"category_scores_gemma":[0.005732904,0.0003420845,0.001604457,0.01172599,0.0008573094,0.0005792012,0.0006455972,0.0006183583,0.0002570809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02138443,"about_ca_system_score_gemma":0.03445157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928167,"about_ca_topic_score_gemma":0.9960169,"domain_scores_codex":[0.9985323,0.000141089,0.0002077245,0.0003245442,0.0005054009,0.000288888],"domain_scores_gemma":[0.9936632,0.001276374,0.0007893285,0.0002910331,0.003569546,0.0004104925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004077,0.0001793577,0.8881907,0.005711203,0.004634927,0.000141045,0.002291066,0.001699288,0.001235187,0.0008951026,0.01201939,0.08199867],"study_design_scores_gemma":[0.00001792188,0.00004410012,0.9868568,0.0005859396,0.001186457,0.00002994934,0.001004887,0.0001594095,0.0001912612,0.00005894689,0.009840108,0.00002433545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.714885,0.1545635,0.001184931,0.001802859,0.0003020765,0.0005955581,0.1094456,0.00006857111,0.01715192],"genre_scores_gemma":[0.9328654,0.03544524,0.001381849,0.0006587509,0.0001404682,0.0002344158,0.02264132,0.0000216201,0.006611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138443,"threshold_uncertainty_score":0.1551557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006289175340466388,"score_gpt":0.1953844812574377,"score_spread":0.1890953059169713,"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."}}