{"id":"W152706668","doi":"","title":"Estimating age in black South African children : research","year":2014,"lang":"en","type":"article","venue":"","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Forensic odontology; Demography; Forensic science; Sample (material); Forensic dentistry; Documentation; Dentistry; Age groups; Estimation; Medicine; Computer science; Sociology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004305767,0.0006100127,0.0005185639,0.002285059,0.001342672,0.0006484443,0.0006334538,0.0004211164,0.00158467],"category_scores_gemma":[0.01080258,0.000442185,0.0005458765,0.002261343,0.0007855274,0.00109593,0.001048769,0.00057738,0.0002846927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009850797,"about_ca_system_score_gemma":0.00194359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0604044,"about_ca_topic_score_gemma":0.08447005,"domain_scores_codex":[0.9986246,0.0006223731,0.00009013443,0.0001772407,0.0002919982,0.0001936458],"domain_scores_gemma":[0.9972403,0.001139311,0.0008786076,0.0002007825,0.0004307188,0.0001102113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001415955,0.0003404775,0.9611362,0.0001309313,0.00004858182,0.000220674,0.01239163,0.000220874,0.0008617667,0.0002652147,0.00009863714,0.02414345],"study_design_scores_gemma":[0.00001031086,0.0004554644,0.9804936,0.0001585045,0.0000707561,0.0004072595,0.01579789,0.0006756303,0.0006792968,0.0001692999,0.001068444,0.00001358506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991629,0.0002811349,0.0001412425,0.00003730164,0.000001756586,0.0000281744,0.00004036666,7.22056e-7,0.0003063108],"genre_scores_gemma":[0.9966348,0.00120328,0.001651046,0.00002763282,0.000005336429,0.00008211731,0.00006985641,0.000002264941,0.0003236761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0604044,"threshold_uncertainty_score":0.1201057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07064795941147888,"score_gpt":0.3167643870962636,"score_spread":0.2461164276847847,"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."}}