{"id":"W3000074617","doi":"","title":"Incorporating fire severity into estimates of carbon losses from wildfires in Ontario","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Climatology; Physical geography; Atmospheric sciences; Meteorology; Geography; Geology","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":[0.0002277569,0.000127462,0.0002045357,0.00002045681,0.00003903517,0.00001812011,0.0002276263,0.00009314707,0.0004917447],"category_scores_gemma":[0.0001423648,0.0001205649,0.00002829548,0.0001263094,0.0001384432,0.0001740236,0.0001626843,0.0002719625,0.00005848846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803527,"about_ca_system_score_gemma":0.00003219148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9141625,"about_ca_topic_score_gemma":0.9381833,"domain_scores_codex":[0.9990872,0.00003477297,0.0002452881,0.0002569403,0.0002123659,0.0001634354],"domain_scores_gemma":[0.9993653,0.0001537062,0.0001304448,0.0002900591,0.000003919922,0.00005660742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006696183,0.00004756781,0.9290085,0.000009297707,0.000003513588,0.000009994513,0.001038299,0.00005195828,0.06648624,0.00000385758,0.00004696395,0.003287077],"study_design_scores_gemma":[0.0001662795,0.00003656832,0.9776646,0.00004427655,0.000004329379,0.000001995293,0.00002705675,0.003999296,0.01634548,0.001410958,0.0001649347,0.0001341625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99682,0.00001664716,0.000001578428,0.00005467022,0.0003270607,0.0001625342,0.000003193691,0.0000310668,0.002583214],"genre_scores_gemma":[0.9957694,3.379851e-7,0.004105742,0.00002134841,0.00002948454,0.00001269491,0.000007748195,0.00001210509,0.00004116153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05014076,"threshold_uncertainty_score":0.5384259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005208203460581029,"score_gpt":0.1992061557466518,"score_spread":0.1939979522860707,"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."}}