{"id":"W2030573181","doi":"10.1007/s10592-014-0615-y","title":"Conflict in outcomes for conservation based on population genetic diversity and genetic divergence approaches: a case study in the Japanese relictual conifer Sciadopitys verticillata (Sciadopityaceae)","year":2014,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Solar Energy Technologies Office; Japan Society for the Promotion of Science","keywords":"Genetic diversity; Range (aeronautics); Biodiversity; Biology; Ecology; Population; Conservation genetics; Genetic divergence; Effective population size; Extinction (optical mineralogy); Divergence (linguistics); Evolutionary biology; Microsatellite; Demography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005237331,0.0002646483,0.0002552461,0.0001590218,0.0005026546,0.00006094909,0.000279967,0.0002122879,0.000006565622],"category_scores_gemma":[0.0003365128,0.0002414767,0.00006563129,0.0002589174,0.0001174243,0.00001169177,0.0002451818,0.0001316893,0.00000134391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003332345,"about_ca_system_score_gemma":0.00004840099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155464,"about_ca_topic_score_gemma":0.004229719,"domain_scores_codex":[0.9979744,0.0004146733,0.000444686,0.0005680657,0.0003259464,0.0002722402],"domain_scores_gemma":[0.9988735,0.0002140756,0.000170077,0.0005301306,0.0001378762,0.00007438574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001114716,0.0001365857,0.9848486,0.00003344279,0.00001842529,0.00001796968,0.002562072,0.01135829,0.0001014997,0.0000310414,0.00009840493,0.0006822259],"study_design_scores_gemma":[0.002357696,0.0005021401,0.9467559,0.0000114899,0.00006176162,0.00003293425,0.001867828,0.04755444,0.00004080363,0.00007695408,0.0004716609,0.0002663943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960476,0.00007957205,0.001594941,0.0005699379,0.0001428827,0.001500162,0.00003097838,0.0000120082,0.00002189815],"genre_scores_gemma":[0.9962288,0.00002070637,0.001136726,0.002338427,0.00005496573,0.00005516348,0.0001195816,0.00001671302,0.0000289332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03809268,"threshold_uncertainty_score":0.9847134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0742707307776178,"score_gpt":0.2752244688136081,"score_spread":0.2009537380359903,"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."}}