{"id":"W2114464197","doi":"10.1111/j.1556-4029.2011.01700.x","title":"Evaluation of Age Estimation Technique: Testing Traits of the Acetabulum To Estimate Age at Death in Adult Males*","year":2011,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of Victoria","funders":"Core Research for Evolutional Science and Technology","keywords":"Acetabulum; Forensic anthropology; Estimation; Population; Age groups; Demography; Statistics; Inference; Medicine; Mathematics; Geography; Computer science; Surgery; Artificial intelligence; Engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002341749,0.00008826776,0.0002410054,0.0001844407,0.0002464188,0.00000645103,0.0002501828,0.00003841829,0.00007578124],"category_scores_gemma":[0.0009394377,0.00004941861,0.00006607431,0.0001642641,0.008386225,0.0001530587,0.00008909497,0.00009984555,9.419075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003910192,"about_ca_system_score_gemma":0.0001085884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426545,"about_ca_topic_score_gemma":0.01455882,"domain_scores_codex":[0.9986523,0.0001211566,0.0004607798,0.0001017373,0.000507142,0.0001568488],"domain_scores_gemma":[0.9985951,0.0001094263,0.0005166873,0.00007115437,0.0006845873,0.00002301465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002730271,0.0004326976,0.2558886,0.0001469535,0.0002089217,0.00007099447,0.1904135,0.001852406,0.003475031,0.4596675,0.001203952,0.0863665],"study_design_scores_gemma":[0.001455853,0.003407679,0.7414505,0.001549054,0.0005520681,0.0002861822,0.03385477,0.0049894,0.07033438,0.1416693,0.00006842874,0.0003823748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911065,0.0001167128,0.00008182781,0.0006693384,0.0003533656,0.000200306,0.000003366596,0.000004396569,0.007464174],"genre_scores_gemma":[0.9855375,0.000004689406,0.0143073,0.00004620082,0.00003727293,0.000004558447,1.789634e-7,0.000002777756,0.00005946966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.485562,"threshold_uncertainty_score":0.9943124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1544653903225768,"score_gpt":0.3474839085601737,"score_spread":0.1930185182375969,"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."}}