{"id":"W2003687139","doi":"10.1111/j.1556-4029.2008.00702.x","title":"Comparing the Performance of IBIS and BulletTRAX‐3D Technology Using Bullets Fired Through 10 Consecutively Rifled Barrels*","year":2008,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tobacco Research Unit; Occupational Cancer Research Centre","funders":"Rural Development Administration","keywords":"Ibis; Sample (material); Shot (pellet); Engineering; Forensic engineering; Computer science; Materials science; Chemistry; Geology; 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":[0.002619396,0.0006021047,0.0005543238,0.003003814,0.0004035517,0.001383318,0.0006406429,0.000739721,0.002145954],"category_scores_gemma":[0.003330763,0.0004313481,0.0004469474,0.001255151,0.000398271,0.001020851,0.00142992,0.0002392312,0.00106058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000629911,"about_ca_system_score_gemma":0.0005475137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075189,"about_ca_topic_score_gemma":0.004412995,"domain_scores_codex":[0.9986424,0.0001493628,0.0001013624,0.0003394663,0.0006555132,0.0001119491],"domain_scores_gemma":[0.9981474,0.0006913739,0.0002190833,0.0002480152,0.0006109572,0.00008314586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002786645,0.0002444415,0.1108363,0.0008911476,0.0003693822,0.0003575521,0.0008141469,0.006224611,0.4665146,0.0009308417,0.001386861,0.4086436],"study_design_scores_gemma":[0.00006884756,0.001785089,0.1984054,0.000128116,0.0004380647,0.002855948,0.001005698,0.09339958,0.6885899,0.0006019861,0.012491,0.0002302446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902926,0.002436125,0.08547606,0.0001032645,0.0000868491,0.0002118965,0.001233161,0.002444897,0.005081817],"genre_scores_gemma":[0.7924143,0.001012206,0.2017128,0.0001018626,0.00002392444,0.0001159645,0.001595138,0.0001986616,0.002825157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003003814,"threshold_uncertainty_score":0.01385289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053825840435943,"score_gpt":0.278719401214298,"score_spread":0.2281811428099386,"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."}}