{"id":"W4364352504","doi":"10.1111/1556-4029.15251","title":"Commentary on: Elkins <scp>KM</scp>, Garloff <scp>AT</scp>, Zeller <scp>CB</scp>. Additional predictions for forensic <scp>DNA</scp> phenotyping of externally visible characteristics using the <scp>ForenSeq</scp> and Imagen kits. J Forensic Sci. 2023;68(2):608–13. https://doi.org/10.1111/1556‐4029.15215","year":2023,"lang":"en","type":"letter","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Pleiotropy; Computational biology; Genotyping; Genetics; Biology; Computer science; Phenotype; Gene; Genotype","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":[0.006106981,0.001549594,0.001903805,0.001611327,0.003730116,0.00392564,0.005774557,0.04555525,0.03009289],"category_scores_gemma":[0.05041233,0.001104849,0.00196776,0.001178951,0.003975933,0.005606226,0.002929193,0.04652214,0.02982211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042096,"about_ca_system_score_gemma":0.006676466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388112,"about_ca_topic_score_gemma":0.01701518,"domain_scores_codex":[0.9953537,0.000754238,0.0005203061,0.000896938,0.002028504,0.0004462454],"domain_scores_gemma":[0.9735,0.01120701,0.001167665,0.0006794649,0.01059743,0.002848401],"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":[0.000009375005,0.000002572804,0.00002433415,0.00002259257,0.000002021777,0.00004024873,0.00001746206,0.000005989147,0.00001318665,0.0001437731,0.9989846,0.0007338441],"study_design_scores_gemma":[0.00004591247,0.00002296754,0.0003399576,0.0004220202,0.00001755826,0.0002907205,0.0002352955,0.00008494082,0.0001263075,0.001678697,0.9966863,0.00004945179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006537044,0.001237552,0.0001264245,0.8414322,0.1552972,0.0000211135,0.0002210659,0.00008742945,0.001511567],"genre_scores_gemma":[0.0006398182,0.000963648,0.000153723,0.89605,0.09262571,0.00005129315,0.00008262839,0.00006493833,0.009368201],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04555525,"threshold_uncertainty_score":0.1006708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526082081451971,"score_gpt":0.2931113532840495,"score_spread":0.2578505324695298,"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."}}