{"id":"W2154752868","doi":"10.1016/j.foreco.2008.03.011","title":"Complexity in modelling forest ecosystems: How much is enough?","year":2008,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecosystem; Ecology; Understory; Disturbance (geology); Ecological succession; Population; Forest ecology; Boreal; Competition (biology); Environmental resource management; Environmental science; Geography; Biology","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":[0.0001837648,0.000122928,0.0001800255,0.000063659,0.0003578474,0.000007388271,0.0001203339,0.00008319619,0.00018401],"category_scores_gemma":[0.000005092053,0.0001198362,0.00002757124,0.0001067129,0.0003416422,0.0001228143,0.000268224,0.00009873112,0.0001553188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008738447,"about_ca_system_score_gemma":0.000002943401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326147,"about_ca_topic_score_gemma":0.05094288,"domain_scores_codex":[0.9991132,0.00004609664,0.0001626046,0.0003055973,0.00007719267,0.0002952988],"domain_scores_gemma":[0.9997101,0.00004591514,0.00006246036,0.000133792,0.00000502282,0.00004269632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001308821,0.00008978751,0.947381,0.00003444746,0.00003353503,0.00006711234,0.0006532233,0.01801389,4.751753e-7,0.02988902,0.003773719,0.00005075877],"study_design_scores_gemma":[0.0005066886,0.00007066798,0.8567771,0.000005738825,0.0000129416,0.00001396344,0.0002420277,0.1168797,0.000001211283,0.01937439,0.005983881,0.0001317088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807653,0.00005480714,0.002917776,0.002023119,0.000148746,0.0003966654,0.000004189918,0.00002624161,0.01366316],"genre_scores_gemma":[0.9944686,0.0006706663,0.001757505,0.0005416908,0.00001249066,0.0001023081,0.00001142796,0.000006733252,0.002428564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0988658,"threshold_uncertainty_score":0.9663749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372088648544345,"score_gpt":0.2240101635153308,"score_spread":0.1902892770298873,"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."}}