{"id":"W2049608426","doi":"10.1139/x05-066","title":"Patterns and general characteristics of severe forest dieback from 1950 to 1995 in the northeastern United States","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wisconsin Department of Natural Resources; U.S. Department of Agriculture; U.S. Department of Commerce","keywords":"Geography; Scale (ratio); Forest health; Ecology; Fraxinus; Population; Cartography; Physical geography; Forestry; Demography; Biology","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":[0.0009727669,0.00008994286,0.0001498717,0.0003129401,0.0001262095,0.00004875316,0.0004932101,0.00005180621,0.0005347656],"category_scores_gemma":[0.00009639876,0.00006616997,0.00003001175,0.0003602159,0.000222256,0.0001266109,0.00008895947,0.0003517156,0.00004994806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980933,"about_ca_system_score_gemma":0.00008954646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1444633,"about_ca_topic_score_gemma":0.9362024,"domain_scores_codex":[0.9986253,0.0001786237,0.0003063078,0.000129124,0.0003270454,0.0004335997],"domain_scores_gemma":[0.9991668,0.000154197,0.00008168993,0.0001892255,0.00004475955,0.0003633579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003724318,0.00002784759,0.9868377,0.000007139762,0.00001268906,0.0001214335,0.002126471,0.005930529,0.00001448276,0.0001540569,0.001447874,0.00328254],"study_design_scores_gemma":[0.0002659064,0.0002426718,0.9775087,0.00003584964,0.000005391291,0.00002665058,0.0004167767,0.0006959514,0.000005671671,0.0006255288,0.02010234,0.00006852701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974557,0.00003134166,0.000026666,0.001761408,0.00005488913,0.0001980735,0.00007726689,9.34725e-7,0.0003936945],"genre_scores_gemma":[0.9989222,0.00005715064,0.0001545327,0.0005219758,0.00009432612,0.000005930744,0.00002605508,0.000008818789,0.0002089784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7917391,"threshold_uncertainty_score":0.8612338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342050886594184,"score_gpt":0.2662428845531616,"score_spread":0.2428223756872198,"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."}}