{"id":"W3044181713","doi":"10.1111/1468-2230.12565","title":"Fingerprint Comparison and Adversarialism: The Scientific and Historical Evidence","year":2020,"lang":"en","type":"article","venue":"Modern Law Review","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Fingerprint (computing); Scientific evidence; Categorical variable; Mainstream; Adversarial system; Psychology; Identity (music); Legislation; Law; Epistemology; Political science; Computer science; Artificial intelligence; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003465334,0.00007852424,0.000156391,0.000003655161,0.000138699,0.00004776284,0.0001424285,0.0000365112,0.000009988678],"category_scores_gemma":[0.0001721432,0.00005167122,0.00003674775,0.00005083573,0.0002490191,0.000002733829,0.0002257756,0.00008042857,0.000006540359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009391349,"about_ca_system_score_gemma":0.00003158204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004613809,"about_ca_topic_score_gemma":0.00002030985,"domain_scores_codex":[0.9991922,0.00008329576,0.0001446445,0.0003052631,0.0001500477,0.0001245687],"domain_scores_gemma":[0.9995682,0.00002048962,0.00003520968,0.0002321715,0.00004526515,0.00009861536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002636763,0.0001185472,0.004481793,0.007828201,0.0001876374,0.00001839665,0.001712359,0.00005455317,0.1841729,0.01410699,0.3490708,0.4379841],"study_design_scores_gemma":[0.0001156713,0.0001371706,0.0002305181,0.0003304966,0.00003652136,0.000009407405,0.000004459813,0.001290099,0.001830993,0.0002434328,0.9956579,0.000113287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05953359,0.9106772,0.003474772,0.02523782,0.0001290249,0.0004725152,0.000003117805,0.000008746363,0.000463227],"genre_scores_gemma":[0.9599985,0.0363169,0.0003005159,0.003003336,0.0000973362,0.0000141412,0.000006317943,0.000007420432,0.0002554864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.900465,"threshold_uncertainty_score":0.2107091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101672374324809,"score_gpt":0.3317582871389124,"score_spread":0.2215910497064316,"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."}}