{"id":"W2016253028","doi":"10.1111/j.1556-4029.2006.00298.x","title":"A Blind Trial Evaluation of a Crime Scene Methodology for Deducing Impact Velocity and Droplet Size from Circular Bloodstains<sup>*</sup>","year":2006,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Occupational Cancer Research Centre; Health Sciences Centre","funders":"University of Toronto","keywords":"Range (aeronautics); Volume (thermodynamics); Statistics; Confidence interval; Violent crime; Mathematics; Materials science; Analytical Chemistry (journal); Physics; Chromatography; Chemistry; Composite material; Criminology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01559746,0.001008631,0.000443855,0.0008757906,0.0008962969,0.0005831523,0.001529343,0.001471396,0.001429433],"category_scores_gemma":[0.04507569,0.0004378302,0.0005543586,0.0005652996,0.001162782,0.0006315097,0.0007365283,0.0006620024,0.0006190478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084623,"about_ca_system_score_gemma":0.0007850291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007982437,"about_ca_topic_score_gemma":0.0007687097,"domain_scores_codex":[0.991234,0.004708073,0.000692434,0.001259865,0.001919349,0.0001863011],"domain_scores_gemma":[0.9625216,0.02309564,0.0029597,0.0046686,0.006236759,0.00051767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05894467,0.02751692,0.1414856,0.002131884,0.0007816083,0.0006932872,0.00326403,0.02968183,0.3448111,0.00544106,0.002450098,0.3827979],"study_design_scores_gemma":[0.003350676,0.2660871,0.06104534,0.0001307422,0.0005478959,0.002162785,0.0008134657,0.1079014,0.5491059,0.002026009,0.006440811,0.0003879153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7955942,0.0002118521,0.1982921,0.00008980063,0.0002126441,0.003792366,0.0003484463,0.0003258353,0.001132817],"genre_scores_gemma":[0.8172529,0.0002195334,0.1789369,0.0001073998,0.00005796328,0.001866412,0.0003089097,0.00006398206,0.00118594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559746,"threshold_uncertainty_score":0.08248824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1700537935420413,"score_gpt":0.4489736365777054,"score_spread":0.2789198430356641,"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."}}