{"id":"W2774596272","doi":"10.1515/sg-2017-0003","title":"Genetic Variation in Abies religiosa for Quantitative Traits and Delineation of Elevational and Climatic Zoning for Maintaining Monarch Butterfly Overwintering Sites in Mexico, considering Climatic Change","year":2017,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Forest Service; Coordinación de la Investigación Científica; Consejo Nacional de Ciencia y Tecnología; Universidad Michoacana de San Nicolás de Hidalgo; Universidad El Bosque; United States Agency for International Development; University of Minnesota; U.S. Department of Agriculture","keywords":"Overwintering; Altitude (triangle); Biology; Population; Frost (temperature); Ecology; Climate change; Danaus; Seedling; Forestry; Geography; Botany; Lepidoptera genitalia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002849602,0.0001480018,0.000115713,0.0005822751,0.0003166974,0.000291307,0.0001316655,0.0001249392,0.0006338786],"category_scores_gemma":[0.0002598921,0.00008097667,0.0001357549,0.0003996474,0.0001951677,0.00007459029,0.0001783669,0.0001490575,0.00004512969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012866,"about_ca_system_score_gemma":0.0001888164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785927,"about_ca_topic_score_gemma":0.05140636,"domain_scores_codex":[0.9999075,0.00002021474,0.000006134247,0.00003554385,0.00001205184,0.00001858785],"domain_scores_gemma":[0.9997849,0.0000440484,0.00009216739,0.00001445368,0.00002108291,0.00004345499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001727274,0.00003483289,0.9831187,0.000008513063,0.0000430368,0.00006395407,0.0004375005,0.0001151618,0.01351785,0.00005178922,0.00003238063,0.002403627],"study_design_scores_gemma":[0.000002124289,0.00001196601,0.9997078,0.000001218461,0.000004990631,0.0000111085,0.0001080942,0.00006488318,0.0000445021,0.000003851899,0.00003897254,5.250854e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998466,0.00001388282,0.00003022944,0.000002916262,2.932207e-7,0.000001309121,0.00003384235,8.385142e-7,0.00007014145],"genre_scores_gemma":[0.9997228,0.00001386889,0.0001159494,0.000002346985,7.658423e-7,0.00000284181,0.00008796786,5.267378e-7,0.00005300041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785927,"threshold_uncertainty_score":0.03551066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539390445838284,"score_gpt":0.2982469710999061,"score_spread":0.2528530666415233,"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."}}