{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132073,0.000561857,0.0004966484,0.001004132,0.0005175698,0.0009094281,0.0004917266,0.0007727859,0.001753728],"category_scores_gemma":[0.01926048,0.000552086,0.000461601,0.0007906032,0.0003816847,0.001358191,0.0007950599,0.0007226504,0.0004606986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602265,"about_ca_system_score_gemma":0.0004351867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123998,"about_ca_topic_score_gemma":0.004009914,"domain_scores_codex":[0.9981259,0.0005145229,0.000127435,0.0003687464,0.0007185785,0.0001449403],"domain_scores_gemma":[0.9746845,0.02028105,0.001002872,0.001295651,0.002504733,0.000231192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005954545,0.0004171071,0.06811294,0.0009717936,0.0004349945,0.00121509,0.001350304,0.04283135,0.4927787,0.001210101,0.001712754,0.3830102],"study_design_scores_gemma":[0.00008581911,0.001422174,0.2377218,0.0001678693,0.0008211227,0.00545354,0.0008952557,0.2765356,0.472522,0.000971889,0.00317261,0.0002303642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513975,0.002167724,0.1417787,0.0001812993,0.0001123161,0.00007410433,0.0003212461,0.0007528937,0.003214105],"genre_scores_gemma":[0.9300413,0.0006842038,0.06761347,0.00007468018,0.0000203721,0.00001992811,0.0001809714,0.0002570516,0.001108067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002132073,"threshold_uncertainty_score":0.01127559,"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."}}