{"id":"W2007892758","doi":"10.1098/rsbl.2009.0462","title":"F <scp>ordisc</scp> and the determination of ancestry from cranial measurements","year":2009,"lang":"en","type":"article","venue":"Biology Letters","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Discriminant function analysis; Task (project management); Population; Sample (material); Linear discriminant analysis; Test (biology); Genetic genealogy; Evolutionary biology; Statistics; Artificial intelligence; Computer science; Machine learning; Demography; Ecology; Mathematics","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":[0.003260657,0.0004636419,0.0003705758,0.002320548,0.000746206,0.001170631,0.0004481289,0.0002039235,0.007838752],"category_scores_gemma":[0.01551101,0.0002227829,0.0003066445,0.001772518,0.0008017894,0.0007443595,0.0008790838,0.000425481,0.001775967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006220858,"about_ca_system_score_gemma":0.001076087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008863158,"about_ca_topic_score_gemma":0.009413638,"domain_scores_codex":[0.9988054,0.0004888241,0.00006788847,0.0002787978,0.0003048496,0.00005429327],"domain_scores_gemma":[0.9892735,0.007243354,0.0009970157,0.001061349,0.001220863,0.0002039701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001223606,0.0001113076,0.2420811,0.0002158681,0.0001360106,0.0002867051,0.0005134553,0.01746339,0.007337481,0.01169482,0.02417461,0.6947618],"study_design_scores_gemma":[0.0001468918,0.0003676595,0.2843608,0.0001682561,0.0001438902,0.002755384,0.0005499063,0.5322186,0.07456506,0.03097233,0.0735708,0.0001803892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.470106,0.0007644295,0.4684715,0.0009664072,0.0001207481,0.000139891,0.004666384,0.02616632,0.02859818],"genre_scores_gemma":[0.6170852,0.0002049369,0.3683287,0.0001427455,0.00005265388,0.0001201336,0.00438936,0.002259078,0.0074171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008863158,"threshold_uncertainty_score":0.02622324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492994422352741,"score_gpt":0.2886677037804146,"score_spread":0.2637377595568872,"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."}}