{"id":"W1992869655","doi":"10.5558/tfc76929-6","title":"Spatial implementation of models in forestry","year":2000,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest management; Computer science; Process (computing); Forest inventory; Resource (disambiguation); Environmental resource management; Geographic information system; Biomass (ecology); Remote sensing; Spatial analysis; Environmental science; Ecology; Geography; Agroforestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002906141,0.000624035,0.0005206686,0.0006126375,0.0007287595,0.002120958,0.001557113,0.001362661,0.005899664],"category_scores_gemma":[0.006210164,0.000577727,0.001119702,0.001232395,0.0009378274,0.002555322,0.002317428,0.001476915,0.001631774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033927,"about_ca_system_score_gemma":0.001322615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007435499,"about_ca_topic_score_gemma":0.006844712,"domain_scores_codex":[0.9982764,0.0009498902,0.0001208237,0.0001418255,0.0004351028,0.00007601455],"domain_scores_gemma":[0.9984893,0.0007975387,0.00006859767,0.0003692589,0.0002409805,0.0000342942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001827707,0.00005035797,0.001011724,0.000120253,0.00006149544,0.0001040678,0.0002995336,0.3850017,0.0007141285,0.525833,0.003045806,0.08373976],"study_design_scores_gemma":[0.00001495174,0.00002166466,0.0002196602,0.00007090979,0.00002291576,0.00006291036,0.0001061655,0.7462119,0.0009402104,0.2079876,0.04432453,0.00001663738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003428591,0.0004648345,0.9812419,0.0004807301,0.00007526341,0.00003999222,0.00009179927,0.0008425522,0.01333431],"genre_scores_gemma":[0.1464076,0.00146992,0.8436473,0.0002009049,0.00008650748,0.0003366686,0.0003769766,0.0003599659,0.007114212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007435499,"threshold_uncertainty_score":0.01973635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245029850992931,"score_gpt":0.2608178553638288,"score_spread":0.2483675568538995,"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."}}