{"id":"W3008112879","doi":"10.1017/s003060531900053x","title":"Population structure and genetic diversity of<i>Magnolia cubensis</i>subsp.<i>acunae</i>(Magnoliaceae): effects of habitat fragmentation and implications for conservation","year":2020,"lang":"en","type":"article","venue":"Oryx","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universiteit Gent; Whitley Fund for Nature","keywords":"Genetic diversity; Subspecies; Habitat fragmentation; Endangered species; Threatened species; Biology; Ecology; Genetic structure; Endemism; Habitat destruction; Fragmentation (computing); Conservation genetics; Population; Habitat; Microsatellite; Allele","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":[0.000309042,0.0001328921,0.0001441171,0.0006113106,0.000263899,0.0003132928,0.0002034338,0.0001105622,0.0006492442],"category_scores_gemma":[0.0003711235,0.00007952128,0.0001316583,0.0003873039,0.0002446322,0.0001217171,0.0001995293,0.000130283,0.00006921088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760173,"about_ca_system_score_gemma":0.000119188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356385,"about_ca_topic_score_gemma":0.02068835,"domain_scores_codex":[0.9998549,0.00003407471,0.00000873415,0.00005423233,0.00002747014,0.0000206253],"domain_scores_gemma":[0.9996378,0.00009222708,0.0001410524,0.00002794734,0.00005279448,0.00004809955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001314954,0.0000529113,0.9793449,0.00001442246,0.0000854009,0.00008516951,0.000688435,0.0002996892,0.01124107,0.0001005079,0.00006534938,0.007890591],"study_design_scores_gemma":[0.000002186991,0.00001593569,0.9991811,0.00000218454,0.000006282286,0.00005009365,0.0001415467,0.0003742043,0.0001254461,0.00001562015,0.00008332155,0.000002087536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998135,0.00002383459,0.00002942809,0.000003548661,3.194681e-7,0.000001230173,0.0000243806,6.466037e-7,0.0001032271],"genre_scores_gemma":[0.9997508,0.0000144184,0.00008292065,0.0000023855,7.910435e-7,0.000002893511,0.00009299647,5.732281e-7,0.00005223191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356385,"threshold_uncertainty_score":0.02696979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002739491914266,"score_gpt":0.2260730665561705,"score_spread":0.2160456716370279,"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."}}