{"id":"W2155648086","doi":"10.4155/bio.14.244","title":"Is it Possible to Identify Gender and Ethnicity Via Hair Elements?","year":2014,"lang":"en","type":"editorial","venue":"Bioanalysis","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ethnic group; Computer science; Chemistry; Sociology; Anthropology","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":[0.01135706,0.002780219,0.003172825,0.003115327,0.002598873,0.006097458,0.002777556,0.01911559,0.004699969],"category_scores_gemma":[0.0320008,0.001330075,0.00186163,0.001105361,0.00445621,0.004652689,0.001963825,0.02542612,0.004954999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289626,"about_ca_system_score_gemma":0.002359324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842406,"about_ca_topic_score_gemma":0.005013188,"domain_scores_codex":[0.9949669,0.001230135,0.0007453275,0.0007897395,0.002010779,0.0002570671],"domain_scores_gemma":[0.9771877,0.01243915,0.00124256,0.0007049962,0.006681578,0.001743946],"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":[0.00004412566,0.00001435492,0.00008024069,0.000265587,0.00003221924,0.0001384446,0.00002423601,0.00001468059,0.0001103885,0.0005225229,0.985047,0.01370629],"study_design_scores_gemma":[0.00004905678,0.00003574819,0.0006196182,0.0006143723,0.0001102712,0.0005343591,0.00007713903,0.0001288491,0.0002674921,0.002233332,0.9952962,0.0000336318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000472046,0.01523706,0.0003570633,0.06913736,0.9143648,0.00001159557,0.00003503472,0.00003684529,0.0007731137],"genre_scores_gemma":[0.0005356945,0.007774332,0.000311919,0.05162803,0.9331843,0.00002924371,0.00001853614,0.00003658146,0.006481363],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01911559,"threshold_uncertainty_score":0.06006259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477489090660706,"score_gpt":0.3612546520696068,"score_spread":0.3264797611629997,"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."}}