{"id":"W4377047084","doi":"10.1089/forensic.2023.0006","title":"From Genetic Association to Forensic Prediction: Computational Methods and Tools for Identifying Phenotypically Informative Single Nucleotide Polymorphisms","year":2023,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Public Health Ontario; University of Toronto","funders":"","keywords":"Genome-wide association study; Genotyping; Single-nucleotide polymorphism; Biology; Computational biology; Genetics; Genetic association; Genomics; Genome; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006652129,0.002312923,0.002643642,0.003561367,0.001129315,0.003115608,0.003398881,0.00252085,0.006735668],"category_scores_gemma":[0.0249622,0.001375875,0.003122961,0.003293587,0.0009661373,0.001577115,0.00250482,0.004147242,0.002900378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561882,"about_ca_system_score_gemma":0.003630251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231389,"about_ca_topic_score_gemma":0.01648677,"domain_scores_codex":[0.9982546,0.0009063462,0.0001260384,0.0003436935,0.0002894772,0.00007983834],"domain_scores_gemma":[0.9850417,0.0130315,0.0003808581,0.0006807172,0.0006188066,0.0002464553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000842369,0.0006309802,0.03101843,0.001627816,0.002051465,0.001220143,0.0004069257,0.3986212,0.002452087,0.04070093,0.05055286,0.4698748],"study_design_scores_gemma":[0.0001695786,0.00005724365,0.001597096,0.0001427566,0.0001610612,0.0001964643,0.00008896164,0.9120483,0.0005633802,0.07694946,0.007975331,0.00005036952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01665384,0.002281541,0.9596989,0.00379723,0.0002568057,0.0003222318,0.004800767,0.009377871,0.002810832],"genre_scores_gemma":[0.09997455,0.002213082,0.8825312,0.00153338,0.0003051583,0.001150576,0.009215011,0.001058049,0.002019006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01231389,"threshold_uncertainty_score":0.03518027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096231571907561,"score_gpt":0.3023577584649561,"score_spread":0.2713954427458805,"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."}}