{"id":"W3103512554","doi":"10.1016/j.forsciint.2020.110601","title":"The effects of camera resolution and distance on suspect height analysis using PhotoModeler","year":2020,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada; Canadian Celiac Association; Veterans Affairs Canada; University of Toronto","funders":"","keywords":"Accuracy and precision; Resolution (logic); Suspect; Mathematics; Remote sensing; Statistics; Artificial intelligence; Computer vision; Geodesy; Computer science; Geology; Psychology","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":[0.00009631487,0.0000582489,0.0000852641,0.0001265792,0.00009759131,0.00005448437,0.0001452051,0.00001224909,0.00001859722],"category_scores_gemma":[0.0001225381,0.0000423847,0.00005806853,0.0007311464,0.0002106998,0.0001099314,0.00002185696,0.00005358132,0.000002722679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000491768,"about_ca_system_score_gemma":0.00001083286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381854,"about_ca_topic_score_gemma":0.0000316521,"domain_scores_codex":[0.9993216,0.000007836171,0.0001174441,0.0001341644,0.0003186535,0.000100251],"domain_scores_gemma":[0.9996784,0.00007578939,0.00003500912,0.0000693123,0.00009238553,0.00004910663],"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":[0.0002071528,0.0001081577,0.02946807,0.000155269,0.002651915,0.0000341101,0.004435995,0.6264505,0.2215807,0.03739669,0.001942499,0.075569],"study_design_scores_gemma":[0.00008837671,0.00001785986,0.004063834,0.00001435948,0.0000538823,7.894218e-7,0.00004422761,0.9764141,0.01883133,0.0002155791,0.0002031487,0.00005248777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737095,0.0000806377,0.0242265,0.0002295057,0.0002197174,0.00004620704,0.00000875094,0.00002827096,0.001450881],"genre_scores_gemma":[0.9993564,0.00003785174,0.0004709699,0.00006833332,0.00004135368,0.000002132028,0.000003760236,0.000003290822,0.00001588473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3499636,"threshold_uncertainty_score":0.1728398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088789003531582,"score_gpt":0.2346522354422239,"score_spread":0.2237643454069081,"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."}}