{"id":"W4283079242","doi":"10.1016/j.forsciint.2022.111369","title":"Latent fingermark development on fired and unfired brass ammunition under controlled and blind conditions","year":2022,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Ammunition; Brass; Cartridge; Materials science; Computer science; Metallurgy","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":[0.000222539,0.0002451784,0.0001999818,0.0003888881,0.0005037431,0.0003654473,0.0003367624,0.0004744396,0.003295352],"category_scores_gemma":[0.000583283,0.0001260781,0.0002425356,0.0002570655,0.0003793144,0.0002656066,0.0003537069,0.0003314581,0.0004352497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409871,"about_ca_system_score_gemma":0.0001869793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227785,"about_ca_topic_score_gemma":0.003432679,"domain_scores_codex":[0.9997655,0.00002882294,0.000009592837,0.00007022109,0.00007733777,0.00004861253],"domain_scores_gemma":[0.999653,0.0001016095,0.00007632611,0.00003841953,0.0001003374,0.00003032183],"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":[0.00190458,0.000102156,0.006092649,0.00006274674,0.00002264525,0.0005105864,0.0004075094,0.0003310752,0.9849952,0.00008735981,0.0001066605,0.005376844],"study_design_scores_gemma":[0.00002301244,0.001769294,0.05645029,0.0000241458,0.00006546437,0.0005115931,0.0007551391,0.002388198,0.9368312,0.00009726037,0.001050171,0.00003421278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998515,0.000131529,0.0005523456,0.000009477809,0.00001315776,0.000009194938,0.0001358777,0.00001518518,0.0006183059],"genre_scores_gemma":[0.9974828,0.0001102237,0.0003822635,0.00001127378,0.000003722352,0.000007208409,0.0001224602,0.00000827329,0.001871773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003295352,"threshold_uncertainty_score":0.01102406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787039787983426,"score_gpt":0.3564516315654216,"score_spread":0.3085812336855873,"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."}}