{"id":"W2092754531","doi":"10.7439/ijbar.v4i12.595","title":"Estimation of stature from foot outline (3D footprint) measurements in Ibans of East Malaysia by regression analysis","year":2013,"lang":"en","type":"article","venue":"International Journal of Biomedical and Advance Research","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Footprint; Estimation; Foot (prosody); Regression; Regression analysis; Statistics; Geography; Econometrics; Demography; Mathematics; Engineering; Archaeology","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":[0.0006087996,0.0005940758,0.0002803981,0.002065892,0.0002605404,0.0005869751,0.0005481176,0.0003169345,0.002341229],"category_scores_gemma":[0.001570894,0.0003023891,0.0004762427,0.001764116,0.0002963335,0.0004087076,0.0004895215,0.000412246,0.001298172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568761,"about_ca_system_score_gemma":0.0004248344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07474107,"about_ca_topic_score_gemma":0.1147995,"domain_scores_codex":[0.9997607,0.0000683268,0.00002063669,0.00007636987,0.00003734781,0.0000366751],"domain_scores_gemma":[0.9994137,0.000175887,0.0001361802,0.00004064391,0.0001862558,0.00004740529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009309009,0.00003146035,0.974344,0.00004345077,0.00007590224,0.00007870073,0.0003913752,0.002103291,0.0007001384,0.00009840331,0.0005577554,0.0214823],"study_design_scores_gemma":[0.000001658595,0.00004508795,0.9893922,0.00004598968,0.000035776,0.00009654529,0.001230451,0.008312484,0.0003189106,0.0000730058,0.0004360093,0.00001195359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941871,0.0002567261,0.001461038,0.00004460502,0.000009758799,0.00001182051,0.002646824,0.00003805956,0.001344094],"genre_scores_gemma":[0.9952129,0.0001612453,0.002077202,0.000009526151,0.000005078027,0.00001696195,0.001693104,0.00001124293,0.0008126196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07474107,"threshold_uncertainty_score":0.148612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155122260572329,"score_gpt":0.3665572580433428,"score_spread":0.3150060354376195,"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."}}