{"id":"W2070791116","doi":"10.1016/j.ecolmodel.2007.11.003","title":"An object-oriented cellular automata model for forest planning problems","year":2008,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spatial planning; Computer science; Cellular automaton; Time horizon; Forest management; Plan (archaeology); Object (grammar); Operations research; Environmental resource management; Geography; Mathematical optimization; Artificial intelligence; Environmental planning; Mathematics; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707333,0.0004150617,0.0006337355,0.0003464298,0.0004629311,0.001286029,0.001033641,0.0009823509,0.002037862],"category_scores_gemma":[0.001233169,0.0003109053,0.000567786,0.0006891096,0.0006505886,0.0007911884,0.0006817481,0.0006520766,0.0002650182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815667,"about_ca_system_score_gemma":0.0009537122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695009,"about_ca_topic_score_gemma":0.01267545,"domain_scores_codex":[0.9998577,0.00004278709,0.00001050521,0.00002965381,0.00003553076,0.00002383719],"domain_scores_gemma":[0.9995971,0.0002403628,0.0000336063,0.00003388079,0.00005994691,0.00003507443],"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":[0.00004039195,0.00002536918,0.0005866068,0.00002408197,0.0000148718,0.00008656288,0.00006913872,0.9405889,0.00103513,0.04901544,0.0005115433,0.008001919],"study_design_scores_gemma":[0.000006824506,0.000005859787,0.00004637018,0.000002458399,0.000006156338,0.000009034891,0.000007010358,0.9888592,0.00009192783,0.01040137,0.0005608177,0.000003055821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226032,0.0005293952,0.8604833,0.0006752786,0.0001394631,0.00005616674,0.0003829536,0.0004595018,0.01467067],"genre_scores_gemma":[0.8978952,0.0005043615,0.09416583,0.0001135791,0.00003600309,0.0001460465,0.0002559168,0.00007056051,0.006812463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01695009,"threshold_uncertainty_score":0.03370291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05025208238071646,"score_gpt":0.2401293164978749,"score_spread":0.1898772341171584,"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."}}