{"id":"W2009082946","doi":"10.1016/j.forsciint.2011.11.026","title":"Do century-specific equations provide better estimates of stature? A test of the 19–20th century boundary for the stature estimation feature in Fordisc 3.0","year":2011,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health; University of Windsor","funders":"","keywords":"Context (archaeology); Forensic anthropology; Estimation; Tibia; Demography; Humerus; Femur; RADIUS; Medicine; Mathematics; Geography; Surgery; Computer science; Sociology; Economics; Archaeology","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":[0.01183099,0.000424705,0.000491245,0.001850909,0.0006599759,0.001363322,0.001181299,0.0008145859,0.007123755],"category_scores_gemma":[0.04616251,0.0003063467,0.0007309246,0.00273613,0.0006763551,0.001795566,0.001860389,0.001135774,0.00116477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468414,"about_ca_system_score_gemma":0.001101296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222572,"about_ca_topic_score_gemma":0.02676912,"domain_scores_codex":[0.9965537,0.001925849,0.0002716296,0.000614617,0.0004129407,0.0002214016],"domain_scores_gemma":[0.9770065,0.01550996,0.002426008,0.0026333,0.002100134,0.0003240988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003852243,0.00007119534,0.8544028,0.0001265281,0.0005202906,0.00008885789,0.0014463,0.00578069,0.0005422698,0.02170084,0.007809326,0.1071257],"study_design_scores_gemma":[0.0001924252,0.0002944093,0.8856354,0.000328953,0.0004912659,0.0003085481,0.003223139,0.04887622,0.00328887,0.01730167,0.03994051,0.0001184286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145031,0.002020796,0.04496741,0.002388321,0.0003148021,0.00005130244,0.005438746,0.0002207822,0.03009468],"genre_scores_gemma":[0.9704959,0.000386026,0.01981398,0.0002991194,0.00009478289,0.00005020079,0.004983006,0.0001239802,0.003752966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222572,"threshold_uncertainty_score":0.06256896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570751299251841,"score_gpt":0.2799908485234988,"score_spread":0.2442833355309804,"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."}}