{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.04702299,0.0003668999,0.0007847807,0.006063511,0.003055849,0.008890935,0.002424504,0.004385644,0.007389459],"category_scores_gemma":[0.08998927,0.0003523059,0.0003764825,0.003483466,0.03765063,0.01588794,0.004466889,0.006504654,0.0006414558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004176963,"about_ca_system_score_gemma":0.002938843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391117,"about_ca_topic_score_gemma":0.002687139,"domain_scores_codex":[0.9715372,0.01764141,0.001134016,0.003242627,0.005688112,0.0007566285],"domain_scores_gemma":[0.7889331,0.184802,0.01114906,0.007291857,0.006825002,0.0009989834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007689723,0.00005150636,0.003134331,0.0007490513,0.00004391885,0.0004063858,0.01027957,0.0003349768,0.0002227182,0.9078606,0.003673081,0.07316701],"study_design_scores_gemma":[0.0000316525,0.0002000335,0.0134979,0.007911718,0.00009167535,0.001981727,0.01939557,0.001471116,0.002614717,0.6267752,0.3259116,0.0001170156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1202468,0.3453774,0.047889,0.1953813,0.003337128,0.0001132698,0.0002988429,0.00009212796,0.2872641],"genre_scores_gemma":[0.9239085,0.05907228,0.004869136,0.00614369,0.001665559,0.00004576191,0.00005831186,0.00004424547,0.004192563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9969441,"threshold_uncertainty_score":0.2486843,"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."}}