{"id":"W2885403272","doi":"10.1109/bmsb.2018.8436673","title":"Novel Automatic Human-Height Measurement Using a Digital Camera","year":2018,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Computer vision; Digital camera; Artificial intelligence; Computer graphics (images)","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":[0.0007120055,0.0001301667,0.0001560496,0.00008135793,0.0002090987,0.0004179975,0.0005330627,0.00003626346,0.00004490478],"category_scores_gemma":[0.00007234862,0.0001057462,0.00006150665,0.0003109487,0.00006703411,0.0006333524,0.0001710574,0.0000643505,0.0001016745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000720649,"about_ca_system_score_gemma":0.00007733404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005860675,"about_ca_topic_score_gemma":0.00002865028,"domain_scores_codex":[0.998651,0.00003715809,0.0002251225,0.0003203418,0.0004783362,0.0002880307],"domain_scores_gemma":[0.9990668,0.00003617571,0.0000709906,0.0005301902,0.0002194526,0.00007643722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006958022,0.0008489357,0.01249995,0.00009912622,0.0003048031,0.00004095731,0.002910426,0.00006402581,0.1971951,0.08682419,0.002688853,0.6965167],"study_design_scores_gemma":[0.002703636,0.0007922236,0.08676978,0.0003431094,0.00003988022,0.0003410782,0.00009395418,0.8107777,0.06301043,0.01887942,0.01423231,0.002016432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05009814,0.00002391795,0.9374653,0.0001391324,0.0003484131,0.00008491454,7.188942e-7,0.0003061085,0.01153339],"genre_scores_gemma":[0.7305661,1.810991e-7,0.2689854,0.0002199631,0.0001294164,0.000002176922,2.853662e-7,0.000007256234,0.00008921007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8107137,"threshold_uncertainty_score":0.4312204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119417457044455,"score_gpt":0.3353701540451647,"score_spread":0.2159526970007097,"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."}}