{"id":"W2120623363","doi":"10.1520/jfs15160j","title":"Digital Bite Mark Overlays—An Analysis of Effectiveness","year":2001,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overlay; Reliability (semiconductor); Context (archaeology); Computer science; Poison control; Test (biology); Statistics; Medicine; Medical emergency; Mathematics","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":[0.0248422,0.0004802327,0.0005887721,0.005683772,0.00050354,0.001552167,0.0006737869,0.0005228297,0.002921684],"category_scores_gemma":[0.1651277,0.0002681505,0.0008879543,0.002167179,0.00175092,0.002362659,0.001888551,0.0005383293,0.0004214548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008955632,"about_ca_system_score_gemma":0.0004322211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008288926,"about_ca_topic_score_gemma":0.0008081198,"domain_scores_codex":[0.9660788,0.01665907,0.00335962,0.001488479,0.01190913,0.0005048459],"domain_scores_gemma":[0.7386477,0.2198458,0.02379434,0.006713899,0.00996496,0.001033244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004712956,0.0004746396,0.4911293,0.0009056041,0.001154986,0.0002300655,0.003067,0.006460828,0.00423065,0.003293618,0.001423496,0.4829169],"study_design_scores_gemma":[0.0001537603,0.008169946,0.9287179,0.0005270973,0.001353513,0.002482434,0.004184879,0.03189712,0.01171807,0.003583303,0.00700155,0.0002104922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699847,0.003100915,0.01327384,0.0002680464,0.00005032396,0.0003067736,0.0003980199,0.0001055114,0.01251191],"genre_scores_gemma":[0.9933289,0.0004711915,0.005543279,0.00002753888,0.00003491547,0.0000554423,0.000119267,0.00002001088,0.0003994548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0248422,"threshold_uncertainty_score":0.1313797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358399179415292,"score_gpt":0.2936473906123456,"score_spread":0.2600633988181926,"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."}}