{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004458593,0.0002418834,0.0002152304,0.0003724615,0.000629584,0.0005719657,0.0005511947,0.0002620057,0.0009415689],"category_scores_gemma":[0.001308579,0.0001767406,0.0003096393,0.000371393,0.0003191123,0.0004288212,0.0003302991,0.0001947836,0.0000983209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006404583,"about_ca_system_score_gemma":0.003659229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343569,"about_ca_topic_score_gemma":0.9718249,"domain_scores_codex":[0.999859,0.0000255092,0.000006795434,0.00003419223,0.00002581457,0.00004866894],"domain_scores_gemma":[0.9996252,0.0001485761,0.00005268136,0.00002695097,0.00009842736,0.00004810665],"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":[0.0002108742,0.00005808044,0.4118006,0.00003934434,0.0001003508,0.0001624952,0.000391486,0.5667592,0.002001617,0.001799071,0.0008383325,0.01583848],"study_design_scores_gemma":[0.00002139391,0.00003311775,0.2309262,0.000009737732,0.00003386485,0.0000330525,0.0005647395,0.7663991,0.0004559238,0.0008074997,0.0006935198,0.00002183862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975863,0.0000291474,0.001205462,0.00003328017,9.833541e-7,0.000006233664,0.0002872074,0.00001659673,0.0008348417],"genre_scores_gemma":[0.9985602,0.00002141455,0.00065555,0.000002442114,6.612345e-7,0.000002898097,0.0002556406,0.000003891324,0.0004972632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06564307,"threshold_uncertainty_score":0.1320593,"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."}}