{"id":"W2001363923","doi":"10.1520/jfs2004206","title":"A Comparative Reliability Analysis of Computer-Generated Bitemark Overlays","year":2005,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Overlay; Reliability (semiconductor); Adobe photoshop; Medicine; Adobe; Dentistry; Orthodontics; Statistics; Software; Computer science; Mathematics; Multimedia","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":[0.001781615,0.00009913206,0.0005153638,0.0005929923,0.0001283966,0.00009883823,0.0004883404,0.00003850686,0.0003426876],"category_scores_gemma":[0.0003612643,0.00006758492,0.000337169,0.002504331,0.00067105,0.0004110133,0.00007496304,0.0001582571,0.00002078571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107193,"about_ca_system_score_gemma":0.000310746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158998,"about_ca_topic_score_gemma":0.000432415,"domain_scores_codex":[0.9975666,0.0001682054,0.0006393556,0.0001845868,0.001206301,0.0002349032],"domain_scores_gemma":[0.9980735,0.0005083355,0.0005584433,0.0001691909,0.0004933098,0.0001971804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001532583,0.002002157,0.4317645,0.000127161,0.004488052,0.0004264745,0.003772913,0.320949,0.0252952,0.006373887,0.1567759,0.04649214],"study_design_scores_gemma":[0.002129849,0.002239814,0.668586,0.0001300406,0.0008751802,0.0002714828,0.001543315,0.2842175,0.03332528,0.003448467,0.002830238,0.0004027835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951447,0.0003015795,0.002756946,0.0002048508,0.0002944425,0.00005829788,0.00001881979,0.000005874508,0.001214475],"genre_scores_gemma":[0.9932668,0.00001348236,0.006309711,0.0001521398,0.0001224713,5.36988e-7,0.000001764257,0.000002043612,0.0001310233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368215,"threshold_uncertainty_score":0.3752189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875792174275339,"score_gpt":0.3813011757231497,"score_spread":0.3225432539803963,"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."}}