{"id":"W4392613375","doi":"10.1016/j.fsir.2024.100360","title":"Concrete evidence: Analysis of aggregate and cement in a homicide investigation","year":2024,"lang":"en","type":"article","venue":"Forensic Science International Reports","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University","keywords":"Homicide; Aggregate (composite); Forensic engineering; Cement; Criminology; Engineering; Geotechnical engineering; Psychology; Poison control; Materials science; History; Archaeology; Suicide prevention; Composite material; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538461,0.0003913221,0.000184272,0.00424285,0.001098458,0.0005201969,0.0003780448,0.00082208,0.002962698],"category_scores_gemma":[0.001185796,0.0003081068,0.000228027,0.001351206,0.0005623284,0.0003216551,0.0008003493,0.0005702173,0.0007340848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652746,"about_ca_system_score_gemma":0.0003330114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430652,"about_ca_topic_score_gemma":0.01158229,"domain_scores_codex":[0.9996253,0.00003339634,0.0000389929,0.00006533034,0.0001831691,0.00005383211],"domain_scores_gemma":[0.999517,0.0001001652,0.0001093465,0.00004781996,0.0001531261,0.00007252448],"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":[0.0006955416,0.0002071962,0.3037994,0.0005401702,0.000142087,0.03500196,0.005802203,0.0009863726,0.5659171,0.001832911,0.00133713,0.08373789],"study_design_scores_gemma":[0.00002247257,0.0009614948,0.6914803,0.0004242541,0.0003666668,0.04121697,0.006792678,0.002942933,0.2319379,0.001596868,0.02215391,0.0001036083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897254,0.0008043068,0.004018327,0.0001719026,0.0000301424,0.00008669795,0.0004908369,0.00008384754,0.00458866],"genre_scores_gemma":[0.9841761,0.0005528316,0.01209674,0.00006781872,0.00001213668,0.00001348821,0.0002765158,0.00002152108,0.002782869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00424285,"threshold_uncertainty_score":0.009911239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504381280058391,"score_gpt":0.3134134494337164,"score_spread":0.2883696366331324,"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."}}