{"id":"W3184912796","doi":"10.1016/j.forsciint.2021.110914","title":"The lead-in method for bullet impacts in metal panels","year":2021,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Ammunition; Trajectory; Projectile; Ballistics; Ellipse; Caliber; Lead (geology); Rod; Computer science; Range (aeronautics); Simulation; Mathematics; Geology; Engineering; Physics; Materials science; Aerospace engineering; Geometry; Mechanical engineering","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":[0.001010771,0.00006444055,0.0001245403,0.0001333157,0.00006430272,0.00004461119,0.0002043362,0.00002879493,0.00004096351],"category_scores_gemma":[0.0009867558,0.00004177694,0.00006943415,0.0003309695,0.0001703686,0.00009872192,0.00007275621,0.0001027011,0.000005240212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170702,"about_ca_system_score_gemma":0.0002692796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007751217,"about_ca_topic_score_gemma":0.0001607466,"domain_scores_codex":[0.9989801,0.00001313318,0.0001964544,0.0002095292,0.0003718041,0.0002289447],"domain_scores_gemma":[0.9993525,0.0002228575,0.00004503862,0.0001497258,0.0001864129,0.00004347699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004151367,0.0002915625,0.1118181,0.00004911103,0.00008479855,0.000551058,0.001866976,0.0001111315,0.09116235,0.4714046,0.004760656,0.3174846],"study_design_scores_gemma":[0.002792815,0.0002816641,0.4793285,0.0002513056,0.00002911822,0.0006164538,0.002094623,0.08787543,0.3572926,0.01853805,0.05061569,0.0002838047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332264,0.0002527022,0.08554821,0.05331599,0.002852358,0.0009034679,0.00003492426,0.0001300547,0.02373583],"genre_scores_gemma":[0.8946018,0.00001315663,0.1027673,0.0008077183,0.00008847757,0.00003344403,0.000008815527,0.000006193491,0.001673053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528665,"threshold_uncertainty_score":0.1703614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806499959066604,"score_gpt":0.394903483848552,"score_spread":0.3568384842578859,"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."}}