{"id":"W1975995092","doi":"10.1038/nbt.2408","title":"DNA goes to court","year":2012,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Sandia National Laboratories; Canadian Institutes of Health Research","keywords":"Profiling (computer programming); DNA profiling; Computational biology; Genome; DNA; Political science; Biology; Computer science; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001427679,0.0001523483,0.0001228591,0.00009205594,0.00007409685,0.000005922267,0.0003524118,0.001623176,0.0000258921],"category_scores_gemma":[0.0001035199,0.0001371438,0.00006673746,0.0001937188,0.0001014645,0.000001852836,0.0002445967,0.000355763,0.00008335103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001381255,"about_ca_system_score_gemma":0.00001857263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002797421,"about_ca_topic_score_gemma":0.000006543602,"domain_scores_codex":[0.999069,0.0000223146,0.0001273318,0.0003280804,0.00006313094,0.0003901056],"domain_scores_gemma":[0.9991853,0.000004822231,0.00004239676,0.0006161675,0.0000421941,0.0001091476],"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":[0.00001274328,0.0000524668,0.0008633282,0.00000220934,0.00002018907,5.970745e-7,0.000004487244,2.926351e-7,0.9376504,0.02170854,0.03524151,0.004443235],"study_design_scores_gemma":[0.00005202625,0.00007959229,0.0007525296,0.000001512691,0.000004917506,0.00002527866,0.000006945048,5.632322e-7,0.5010543,0.0001275704,0.4977952,0.00009955088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338052,0.004205402,0.03320607,0.02202304,0.0004896034,0.0006880798,0.00005460509,0.000364466,0.00516351],"genre_scores_gemma":[0.9817858,0.0001391152,0.01322506,0.003957467,0.0002969585,0.0000971089,0.00009110728,0.00002314199,0.0003842778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4625537,"threshold_uncertainty_score":0.9996729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003990655104417823,"score_gpt":0.2709009757778601,"score_spread":0.2669103206734423,"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."}}