{"id":"W4405465421","doi":"10.1089/forensic.2024.0013","title":"<i>Forensic Genomics</i> : 2024 in Review","year":2024,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Genomics; Forensic science; Computational biology; Forensic genetics; Biology; Evolutionary biology; Data science; Computer science; Genetics; Genome; Gene; Microsatellite","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":[0.001742656,0.001012477,0.001000652,0.003171407,0.0007458527,0.002817838,0.001390866,0.003866982,0.02547634],"category_scores_gemma":[0.005747167,0.0003112282,0.0006370003,0.002219051,0.00165712,0.003115025,0.001534118,0.002643503,0.01361141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399648,"about_ca_system_score_gemma":0.002510461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944299,"about_ca_topic_score_gemma":0.003680252,"domain_scores_codex":[0.9994115,0.0001335927,0.00006454777,0.0001070588,0.0002165981,0.00006677124],"domain_scores_gemma":[0.9962184,0.001516879,0.0003605312,0.0001208714,0.001361866,0.0004213479],"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":[0.00002549889,0.0000126813,0.000170338,0.002553551,0.00002445699,0.0001959141,0.0000231795,0.00005927221,0.0002881852,0.002916543,0.7001808,0.2935496],"study_design_scores_gemma":[0.000003277144,0.00001254571,0.0002333114,0.001925508,0.00002342081,0.0008014778,0.00003106061,0.00002127693,0.0001285304,0.001270895,0.995541,0.000007629797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001545054,0.8953249,0.001268215,0.02829137,0.05754937,0.00004118397,0.0002485162,0.0001154639,0.01700653],"genre_scores_gemma":[0.001828182,0.8921034,0.001381835,0.0287986,0.06066629,0.00005002652,0.0005723682,0.00006827271,0.01453114],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02547634,"threshold_uncertainty_score":0.08522683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301013424836133,"score_gpt":0.2746552665607716,"score_spread":0.2616451323124103,"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."}}