{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002674035,0.0001282441,0.0001446043,0.00006696743,0.0001372404,0.0001356201,0.00008042803,0.0001184931,0.000006902611],"category_scores_gemma":[0.000225393,0.0001419052,0.00006293403,0.0001080637,0.00002691095,0.00002130136,0.00009442613,0.0000455306,0.00002318429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009050404,"about_ca_system_score_gemma":0.00004380473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149557,"about_ca_topic_score_gemma":0.00001328178,"domain_scores_codex":[0.9990358,0.00004904808,0.0003023413,0.0002661777,0.0001297454,0.0002168339],"domain_scores_gemma":[0.9993612,0.0001471927,0.0001414713,0.000131998,0.0001324532,0.00008571499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003228252,0.0000448093,0.002780493,0.00004547177,0.0004122626,0.000001883977,0.003677312,0.01740502,0.756445,0.0005512259,0.02915481,0.1891589],"study_design_scores_gemma":[0.006043331,0.001948601,0.2845778,0.0001040163,0.000407265,0.00002099339,0.004980715,0.08455762,0.4868151,0.05359114,0.07547434,0.001479101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042969,0.00005281662,0.1941424,0.0001866773,0.0005801455,0.0003700765,0.0002379739,0.00002885325,0.0001042014],"genre_scores_gemma":[0.5541288,0.00003528167,0.4401644,0.0007936428,0.0009478461,0.00008611708,0.003478513,0.00004091432,0.000324469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2817973,"threshold_uncertainty_score":0.5786725,"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."}}