{"id":"W2136364648","doi":"10.1016/j.ecolmodel.2008.10.018","title":"CBM-CFS3: A model of carbon-dynamics in forestry and land-use change implementing IPCC standards","year":2008,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":569,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Carbon accounting; Environmental science; Land use, land-use change and forestry; Climate change; Stock (firearms); Land use; Carbon sequestration; Greenhouse gas; Carbon offset; Environmental resource management; Computer science; Ecology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0006358153,0.0001497112,0.0002847557,0.00004615932,0.00009332838,0.00001328538,0.0001355839,0.0001296492,0.0000462611],"category_scores_gemma":[0.00005839482,0.0001295898,0.00004112696,0.0001426506,0.0001088067,0.0002050659,0.0002472277,0.0001820956,0.000002674975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948211,"about_ca_system_score_gemma":0.00001367591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286919,"about_ca_topic_score_gemma":0.002863445,"domain_scores_codex":[0.9985247,0.0000637701,0.0003341229,0.0003355338,0.0003120604,0.0004298036],"domain_scores_gemma":[0.9994877,0.000150111,0.0001074334,0.0001573217,0.00001175938,0.00008568014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002362609,0.00007839526,0.7219442,0.00002553527,0.000004666425,0.000025783,0.0003791604,0.2769152,0.0001221761,0.0001255232,0.000008420643,0.0003473408],"study_design_scores_gemma":[0.0003440855,0.00009270594,0.02977618,0.00002215197,0.000004921009,0.000007654919,0.00002906739,0.9689759,0.00004109196,0.0005480438,0.00001612038,0.0001420705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912387,0.00003825453,0.007216803,0.00003428087,0.00003521767,0.0003789517,0.00004179472,0.00003103538,0.0009849485],"genre_scores_gemma":[0.9964125,0.00008535956,0.003346456,0.00004172697,0.00002033742,0.00004517905,0.000005365531,0.00001443918,0.00002869458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6921679,"threshold_uncertainty_score":0.5284519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546431996696826,"score_gpt":0.2431383476679134,"score_spread":0.1976740277009451,"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."}}