{"id":"W2192312525","doi":"10.5194/gmd-9-1243-2016","title":"Implementation of a Marauding Insect Module (MIM, version 1.0) in the Integrated BIosphere Simulator (IBIS, version 2.6b4) dynamic vegetation–land surface model","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Natural Resources Canada; Concordia University; University of British Columbia; Canadian Forest Service; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; U.S. Forest Service; Canadian Forest Service; Eidgenössische Technische Hochschule Zürich","keywords":"Ibis; Evergreen; Biogeochemical cycle; Biosphere; Environmental science; Vegetation (pathology); Deciduous; Ecology; Biosphere model; Ecosystem; Carbon cycle; Atmospheric sciences; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001751176,0.0002475948,0.000221605,0.000104051,0.0002543178,0.00005274146,0.0004760881,0.00008047523,0.0002614308],"category_scores_gemma":[0.00003185629,0.0001618263,0.00005874026,0.0006284031,0.0001091478,0.0004406341,0.0002221877,0.000101754,0.0003006468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937424,"about_ca_system_score_gemma":0.0001443384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000918257,"about_ca_topic_score_gemma":0.003701594,"domain_scores_codex":[0.9972965,0.0001729764,0.0005847586,0.0006439955,0.0008541001,0.0004476822],"domain_scores_gemma":[0.9991243,0.00009587539,0.000240317,0.0004179467,0.00004174403,0.00007984111],"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":[0.00007709237,0.0001665822,0.03958841,0.0000760222,0.00001898026,0.000004625848,0.003786054,0.7758602,0.1596456,0.00001356471,0.001725924,0.01903696],"study_design_scores_gemma":[0.001083701,0.00003479666,0.04212158,0.0001331952,0.000009197718,0.000001452779,0.0002296865,0.9470574,0.008617144,0.0000698004,0.0004055011,0.0002365187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453706,0.00002467922,0.05322281,0.000135494,0.0002766744,0.0007378679,0.00005679151,0.00003674949,0.0001383017],"genre_scores_gemma":[0.9922912,0.000009680479,0.006896926,0.00004135147,0.00000284725,0.00003269094,0.00007350863,0.00002088193,0.000630951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1711973,"threshold_uncertainty_score":0.6599085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086687306592267,"score_gpt":0.2270684660014878,"score_spread":0.2162015929355651,"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."}}