{"id":"W2557210805","doi":"10.1007/s12686-016-0644-6","title":"An R version of FPTest for testing differences in allelic count","year":2016,"lang":"en","type":"article","venue":"Conservation Genetics Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science and Technology Program during the Twelfth Five-year Plan Period; Agriculture and Agri-Food Canada; China Scholarship Council","keywords":"Germplasm; Allele; Sample size determination; Permutation (music); Statistics; Biology; Genetic diversity; Sample (material); Diversity (politics); Evolutionary biology; Mathematics; Genetics; Demography; Botany; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006755646,0.004613422,0.004723666,0.00424345,0.001484761,0.003073167,0.004508333,0.001934666,0.1273959],"category_scores_gemma":[0.03920738,0.002014351,0.006795211,0.003200002,0.001651311,0.002698311,0.002653596,0.004628534,0.05631754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646396,"about_ca_system_score_gemma":0.003290317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261574,"about_ca_topic_score_gemma":0.004176414,"domain_scores_codex":[0.9931758,0.002712709,0.000683218,0.001889721,0.0007921357,0.0007463351],"domain_scores_gemma":[0.9731457,0.02152644,0.001130712,0.002558449,0.001111325,0.0005273744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002815692,0.0006685737,0.03489999,0.005634714,0.009637134,0.00231413,0.002015493,0.01405906,0.01169419,0.02181551,0.7384033,0.1560422],"study_design_scores_gemma":[0.00372947,0.001905396,0.06579303,0.00168796,0.009528019,0.005337086,0.001528426,0.182437,0.03263014,0.1069716,0.5868492,0.001602697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03794206,0.000717281,0.4734873,0.001123736,0.002054064,0.001010023,0.1588222,0.3088624,0.01598101],"genre_scores_gemma":[0.1252153,0.000288064,0.6313332,0.001487065,0.0003561632,0.006622362,0.06677587,0.1479188,0.02000311],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1273959,"threshold_uncertainty_score":0.4261816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612818914825005,"score_gpt":0.25447643643818,"score_spread":0.2183482472899299,"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."}}