{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007548909,0.0002386093,0.0003605014,0.0001969809,0.0002914891,0.0000770247,0.0002099747,0.0001217251,0.00003452678],"category_scores_gemma":[0.000550388,0.0002638457,0.00004923837,0.0001017513,0.0003714573,0.0001987751,0.0002923202,0.00009999191,0.000003730597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009396527,"about_ca_system_score_gemma":0.00001989697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850815,"about_ca_topic_score_gemma":0.002559009,"domain_scores_codex":[0.9980446,0.00008261617,0.0006734972,0.0005346221,0.0001924015,0.0004722616],"domain_scores_gemma":[0.9988046,0.0005367352,0.000324524,0.0002237744,0.00003721122,0.00007316377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000445589,0.0001969147,0.7687393,0.0007137076,0.00009268549,0.000009113664,0.01030109,0.02654047,0.164444,0.007057108,0.0000325583,0.02142742],"study_design_scores_gemma":[0.001203742,0.0004223087,0.8269206,0.000132828,0.0000448519,0.00000631953,0.0003348334,0.1595095,0.0009705309,0.01020114,0.0000290598,0.000224284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659572,0.0004658405,0.03135128,0.0003777331,0.00006209934,0.001647589,0.00002680795,0.00001304292,0.00009837878],"genre_scores_gemma":[0.874191,0.0002948233,0.1247438,0.0001342386,0.00003133834,0.0005563865,0.00001113277,0.00002629135,0.00001098773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634735,"threshold_uncertainty_score":0.9999814,"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."}}