{"id":"W2166915007","doi":"10.1093/forestry/cps077","title":"Testing of WindFIRM/ForestGALES_BC: A hybrid-mechanistic model for predicting windthrow in partially harvested stands","year":2012,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Windthrow; Environmental science; Canopy; Common spatial pattern; Storm; Tree (set theory); Hydrology (agriculture); Ecology; Geology; Geography; Forestry; Meteorology; Mathematics; Biology","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":[0.002233436,0.0001736612,0.0003295898,0.0005206275,0.00009330888,0.00006879213,0.0006203048,0.00008655723,0.000008233306],"category_scores_gemma":[0.001699579,0.0001618947,0.0001224449,0.0002599949,0.0001457078,0.00101216,0.00009902299,0.0005417595,0.000001160442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717394,"about_ca_system_score_gemma":0.0001908162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000384338,"about_ca_topic_score_gemma":0.00285658,"domain_scores_codex":[0.9973153,0.00007409356,0.0008480974,0.0001445128,0.001014646,0.0006032915],"domain_scores_gemma":[0.9975997,0.0006967362,0.0001775691,0.0001825405,0.001139731,0.0002037099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002510101,0.0001985927,0.8307262,0.0001134882,0.0001080224,0.00001741403,0.000707994,0.1646487,0.0003999242,0.001773129,0.00007328871,0.0009822816],"study_design_scores_gemma":[0.0008720554,0.0003604516,0.578356,0.000267089,0.00001165387,0.00005309796,0.0002456195,0.4128604,0.001138531,0.005636658,0.00008113586,0.0001173422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719878,0.000181487,0.02668774,0.00004502891,0.0005283416,0.000245743,0.0001020135,0.00002630416,0.0001955777],"genre_scores_gemma":[0.9956098,0.0000129019,0.003648644,0.000002661779,0.0006160373,0.00002905775,0.0000161868,0.00003694382,0.00002779567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2523702,"threshold_uncertainty_score":0.6601874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133271410924877,"score_gpt":0.3688931862090484,"score_spread":0.2555660451165607,"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."}}