{"id":"W2057474555","doi":"10.5558/tfc77613-4","title":"Landscape-scale forest structure in northern New York and potential successional impacts of the 1998 ice storm","year":2001,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; New York State Department of Environmental Conservation; U.S. Department of Agriculture","keywords":"Ecological succession; Storm; Environmental science; Physical geography; Forestry; Tsuga; Population; Geography; Atmospheric sciences; Ecology; Biology; Geology; Meteorology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000594344,0.0001197385,0.0001359585,0.00001825815,0.00009442079,0.00001553878,0.0002084049,0.00005960236,0.00001828456],"category_scores_gemma":[0.000009625356,0.00006641771,0.00004760396,0.0001588859,0.00008648093,0.0000693293,0.00007859905,0.00018173,0.000001966179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004904499,"about_ca_system_score_gemma":0.00004582079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006769314,"about_ca_topic_score_gemma":0.3874222,"domain_scores_codex":[0.9993505,0.00001602034,0.0001530294,0.0001016102,0.0001490116,0.0002297637],"domain_scores_gemma":[0.9996364,0.00003736577,0.00003102849,0.0002393956,0.000008750936,0.00004712689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000286867,0.0000112722,0.9710976,0.00003070314,0.00001853464,0.000001314379,0.000806564,0.02587023,0.0004906499,0.00001819675,0.0005322811,0.001093912],"study_design_scores_gemma":[0.0005465546,0.00002138643,0.9931156,0.00003416229,0.00001341239,0.00001367779,0.0002179866,0.004239067,0.0002691477,0.0007250275,0.0007215719,0.00008242784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959625,0.00325424,0.00002236328,0.0002929583,0.0001493904,0.0001238359,0.00001900438,0.00003254341,0.0001431554],"genre_scores_gemma":[0.9997439,0.00002909761,0.00001378046,0.000008412204,0.000145197,0.000002243622,0.000003301599,0.00001403586,0.00003999285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867453,"threshold_uncertainty_score":0.6237557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006586476557195971,"score_gpt":0.2015516172398377,"score_spread":0.1949651406826418,"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."}}