{"id":"W2136904816","doi":"10.35196/rfm.2011.1.19","title":"GENETIC VARIATION AMONG Pinus patula POPULATIONS ALONG AN ALTITUDINAL GRADIENT. TWO ENVIRONMENT NURSERY TESTS","year":2011,"lang":"en","type":"article","venue":"Revista Fitotecnia Mexicana","topic":"Scarabaeidae Beetle Taxonomy and Biogeography","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Canadian Wood Council","funders":"Consejo Nacional de Ciencia y Tecnología; Natural Resources Canada; Universidad Michoacana de San Nicolás de Hidalgo; Comisión Nacional Forestal","keywords":"Altitude (triangle); Pinus patula; Seedling; Biology; Pinus <genus>; Population; Genetic variation; Cline (biology); Genetic variability; Low altitude; Botany; Forestry; Horticulture; Ecology; Geography; Genotype; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002739877,0.0002381745,0.0001509776,0.000662549,0.0003392138,0.0002490879,0.0001539477,0.0001575358,0.0009374745],"category_scores_gemma":[0.0004088721,0.0001359007,0.0001274605,0.0003587571,0.0002482928,0.0001332991,0.000216917,0.0002126297,0.0001064769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214685,"about_ca_system_score_gemma":0.0001275582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316306,"about_ca_topic_score_gemma":0.01844229,"domain_scores_codex":[0.999814,0.00004065895,0.00001061518,0.00007392272,0.00002991605,0.00003093689],"domain_scores_gemma":[0.9996475,0.00008227989,0.0001168287,0.00002594494,0.00004474069,0.00008284397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003348958,0.0001690941,0.91429,0.00002219645,0.00009565798,0.0003209703,0.001165842,0.0001922136,0.07867337,0.000110009,0.00005647756,0.004569252],"study_design_scores_gemma":[0.000002633469,0.00005300155,0.9995172,6.274946e-7,0.000004196465,0.00004418586,0.00007936474,0.0000456688,0.0002080179,0.000005005107,0.00003894297,0.000001151241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997649,0.00001222002,0.0000402666,0.000002265555,3.876713e-7,0.000003695038,0.00004531996,0.0000016104,0.0001293914],"genre_scores_gemma":[0.9995458,0.00001207929,0.0001174856,0.000003262188,9.410874e-7,0.000008921306,0.0001491678,0.000001059193,0.0001612455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005316306,"threshold_uncertainty_score":0.01057076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396769878458321,"score_gpt":0.2225881639397535,"score_spread":0.1829111760939214,"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."}}