{"id":"W2936618223","doi":"10.13140/rg.2.2.30908.23687","title":"Estimating the windthrow vulnerability of boreal forest stands in Ontario using the ForestGALES model","year":2017,"lang":"en","type":"article","venue":"","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Windthrow; Taiga; Boreal; Vulnerability (computing); Environmental science; Forestry; Geography; Physical geography; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449931,0.0001261378,0.0001968755,0.00001766391,0.0004025336,0.00005773911,0.0003354985,0.00004160679,0.000005382221],"category_scores_gemma":[0.0001233132,0.0000674339,0.00006291382,0.00003137975,0.0002502907,0.0001678429,0.0001142335,0.0002220247,2.289256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403321,"about_ca_system_score_gemma":0.00005188031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06245853,"about_ca_topic_score_gemma":0.9853758,"domain_scores_codex":[0.9992522,0.00001692451,0.0002544049,0.000120722,0.0001457171,0.0002100548],"domain_scores_gemma":[0.9991186,0.0001251268,0.0000517722,0.0006488004,0.00003680355,0.00001885433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004246037,0.000007832985,0.5915494,0.00001534167,0.00001203635,2.279662e-7,0.001353413,0.4061255,0.00001225017,0.0003905081,0.00001762921,0.0005115969],"study_design_scores_gemma":[0.00009294004,0.000005316753,0.4982682,0.00001226891,0.000006976069,3.351952e-7,0.00009451534,0.4984902,0.00005896906,0.002921139,0.000004810473,0.00004429815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686204,0.00005105224,0.02496703,0.0001470476,0.0001007098,0.0001821481,0.000004714543,0.00003456478,0.005892286],"genre_scores_gemma":[0.9951112,7.210264e-7,0.004805313,0.000003124985,0.00002095484,0.00001083506,8.544569e-7,0.00001082443,0.00003611561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9229172,"threshold_uncertainty_score":0.9437847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349726814815858,"score_gpt":0.2853011649325258,"score_spread":0.2218038967843672,"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."}}