{"id":"W7096872148","doi":"","title":"Forest Vegetation Simulator Model Calibration for Ontario (FVSOntario)","year":2008,"lang":"en","type":"article","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Calibration; Vegetation (pathology); Simulation modeling; Hydrology (agriculture); Precipitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004811096,0.0003326217,0.000319424,0.000286929,0.0008160908,0.0004859093,0.001106038,0.000466524,0.007540376],"category_scores_gemma":[0.001506519,0.0002978329,0.000404202,0.0006045235,0.0002487606,0.0005296041,0.0002798756,0.0004871273,0.001245198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006727456,"about_ca_system_score_gemma":0.008492816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9329486,"about_ca_topic_score_gemma":0.9505831,"domain_scores_codex":[0.999818,0.0000269094,0.000006541061,0.00003658275,0.00006555077,0.00004638221],"domain_scores_gemma":[0.9994357,0.0001021175,0.00003016539,0.00005632257,0.0003240432,0.00005155689],"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":[0.0003713868,0.0001242897,0.03196077,0.0001178291,0.00008983447,0.0001219021,0.0002265892,0.891133,0.002902201,0.002381093,0.04271782,0.02785327],"study_design_scores_gemma":[0.0001529044,0.00003700901,0.01532972,0.00002303214,0.00003022884,0.00002536085,0.00009943816,0.9695645,0.001250096,0.0005564045,0.01289501,0.00003630142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846823,0.0003072935,0.02979974,0.0007347746,0.0001088993,0.0002133343,0.04642411,0.007288313,0.06830048],"genre_scores_gemma":[0.9476324,0.0001329686,0.01642686,0.00008239211,0.000009034815,0.000107414,0.02320183,0.000935614,0.01147149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06705141,"threshold_uncertainty_score":0.1348925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759099936981761,"score_gpt":0.2084680620457934,"score_spread":0.1908770626759758,"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."}}