{"id":"W4405209194","doi":"10.1111/1556-4029.15674","title":"Preliminary validation of Amped <scp>FIVE</scp> software for subject height estimation","year":2024,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada); Trent University","funders":"","keywords":"Software; Photogrammetry; Computer science; Feature (linguistics); Artificial intelligence; Projection (relational algebra); Metrology; Computer vision; Statistics; Mathematics; Algorithm","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":[0.000497686,0.00007106827,0.0001534449,0.0003363286,0.00005590016,0.00007894459,0.0001093272,0.00003342526,0.00001341625],"category_scores_gemma":[0.000374519,0.00005308907,0.0001410042,0.0005456817,0.00007959526,0.0004201655,0.000006495309,0.0000659838,0.000004161978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002375781,"about_ca_system_score_gemma":0.00005963337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001914666,"about_ca_topic_score_gemma":0.000001604643,"domain_scores_codex":[0.9992115,0.00001359595,0.0003188192,0.00007660181,0.0002711432,0.0001083718],"domain_scores_gemma":[0.9992629,0.0003543143,0.0001090589,0.0000411411,0.000192091,0.00004046773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002244618,0.00009165875,0.001991699,0.001204891,0.0005000541,0.00002706813,0.004247728,0.4888156,0.01803368,0.001069646,0.03985895,0.4441365],"study_design_scores_gemma":[0.0003856054,0.0007868459,0.003065508,0.0007492764,0.0003384383,0.0001372257,0.001323973,0.7477983,0.2299089,0.01420776,0.001189638,0.0001085629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769198,0.0009555854,0.120985,0.00007558701,0.0006256027,0.00006649581,0.000009573107,0.0000445623,0.0003178257],"genre_scores_gemma":[0.9716847,0.00006207424,0.02804942,0.000009643242,0.0001069832,0.000002290948,0.000005567098,0.000006764448,0.0000725702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.444028,"threshold_uncertainty_score":0.2164909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971481606667071,"score_gpt":0.2637722381714767,"score_spread":0.244057422104806,"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."}}