{"id":"W2418278249","doi":"10.1201/9781420023244-10","title":"Application of forensic light sources at the crime scene","year":2004,"lang":"en","type":"article","venue":"","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crime scene; Light source; Laser; Forensic science; Computer science; Criminology; Optics; History; Psychology; Archaeology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008096086,0.00005501784,0.00008554764,0.00003476058,0.0003791859,0.00001591397,0.0001695723,0.00005811503,0.0001868888],"category_scores_gemma":[0.0001814615,0.0000370574,0.00005917058,0.0002935355,0.0004010038,0.00005641169,0.00004565731,0.00005738322,0.0001058159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081193,"about_ca_system_score_gemma":0.0000561506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436257,"about_ca_topic_score_gemma":0.004112149,"domain_scores_codex":[0.9992008,0.00009668536,0.000146659,0.0001343055,0.0002725253,0.0001490215],"domain_scores_gemma":[0.9994645,0.0001060652,0.00008753691,0.0002183385,0.00008403953,0.00003955841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003898458,0.00006788587,0.003211119,0.00001801874,0.00003682613,6.312703e-7,0.02175416,0.0004640949,0.04935478,0.635622,0.00229666,0.2871349],"study_design_scores_gemma":[0.0003003188,0.00005136511,0.007799082,0.00001273501,0.00002454841,0.000002617375,0.003660923,0.0000700759,0.7170046,0.05752249,0.2133807,0.0001705784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.603525,0.0002200735,0.09594363,0.01604842,0.0005758239,0.0006416453,0.000001623965,0.0002532574,0.2827905],"genre_scores_gemma":[0.9787045,0.00001272731,0.01779534,0.0002387169,0.0001465197,0.00001619365,5.666321e-7,0.000007035565,0.003078451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6676498,"threshold_uncertainty_score":0.6706322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191577910971417,"score_gpt":0.3179978252034204,"score_spread":0.2988400341062787,"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."}}