{"id":"W7009192269","doi":"","title":"DNA genealogy helping to solve cold cases","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic genealogy; Inheritance (genetic algorithm); Forensic genetics; DNA","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680698,0.0007611796,0.000532119,0.00418583,0.00245714,0.002666302,0.001308071,0.002292083,0.1161352],"category_scores_gemma":[0.03096584,0.0004430182,0.0003555228,0.0009819514,0.001374483,0.001956563,0.002852673,0.003743771,0.04120189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116577,"about_ca_system_score_gemma":0.002205953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300427,"about_ca_topic_score_gemma":0.03530611,"domain_scores_codex":[0.9990415,0.0003063043,0.0001015105,0.0001308544,0.0003101861,0.0001095687],"domain_scores_gemma":[0.9891802,0.003371716,0.0006684735,0.0006477192,0.00386488,0.002267003],"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":[0.00002132778,0.00001297638,0.001443653,0.00005895893,0.000005352074,0.0008976344,0.0003720616,0.00007472921,0.0001617689,0.001392497,0.925139,0.07042001],"study_design_scores_gemma":[0.00001956893,0.00002235714,0.003682578,0.000519007,0.00001744019,0.00405899,0.002399995,0.0004697997,0.0004039132,0.009587049,0.9787902,0.00002901294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01123767,0.03889617,0.02918731,0.5495788,0.0750668,0.000442385,0.003413295,0.003562612,0.2886148],"genre_scores_gemma":[0.08306736,0.04929041,0.03957998,0.05088205,0.03450482,0.0002206757,0.003792661,0.003011163,0.7356509],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1161352,"threshold_uncertainty_score":0.3885108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998315695256093,"score_gpt":0.2030471452565279,"score_spread":0.193063988303967,"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."}}