{"id":"W3040873567","doi":"","title":"Simulating Fire Disturbance in the Canadian Boreal Forest Using TRIPLEX Model","year":2004,"lang":"en","type":"article","venue":"AGUSM","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Taiga; Boreal; Environmental science; Geography; Climatology; Forestry; Physical geography; Meteorology; Remote sensing; Geology; Geomorphology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709061,0.0001014784,0.00009406023,0.00001946385,0.0002020522,0.00004342393,0.000258516,0.00005474777,0.00001103926],"category_scores_gemma":[0.00005352895,0.00007754393,0.00003048767,0.0002282976,0.00005459779,0.0001667325,0.00003373902,0.0001342692,0.00005807564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008056598,"about_ca_system_score_gemma":0.00004912986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8416507,"about_ca_topic_score_gemma":0.9586276,"domain_scores_codex":[0.9990722,0.00003708141,0.0001428508,0.0001965694,0.0002114932,0.0003398183],"domain_scores_gemma":[0.9995863,0.00004548418,0.00004235428,0.0002408192,0.000002337474,0.0000826674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002063909,0.00001611356,0.2289692,0.000004960119,0.000001417413,0.00003399247,0.001098232,0.7668149,0.00007962001,0.0001542554,0.0001045627,0.002720577],"study_design_scores_gemma":[0.0001951955,0.00001344645,0.3262728,0.00001982863,0.00000220843,0.000005877992,0.00002710229,0.672648,0.00001153737,0.0005590182,0.0001587803,0.00008619188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889696,0.00003603025,0.0001843075,0.0002799085,0.0000602662,0.0002830123,0.000004605889,0.00001452093,0.01016773],"genre_scores_gemma":[0.9989599,4.653049e-7,0.0005055459,0.0004272667,0.00003411838,0.00001165062,0.000004618592,0.00001226569,0.00004415506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116977,"threshold_uncertainty_score":0.316215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171992513380752,"score_gpt":0.233364542989709,"score_spread":0.2161652916516338,"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."}}