{"id":"W4390044760","doi":"10.1109/icdacai59742.2023.00144","title":"Distance Estimation Based on Computer Vision","year":2023,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Focus (optics); Monster; Computer vision; Object (grammar); Estimation; Engineering","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":[0.0005449288,0.0000739711,0.00008124895,0.0001019613,0.00008054797,0.0001217648,0.0003053682,0.00002692407,0.00001012517],"category_scores_gemma":[0.00002855926,0.0000596233,0.00003663781,0.000615695,0.00001233988,0.00021171,0.00005543587,0.00005475152,0.0005149927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001510818,"about_ca_system_score_gemma":0.00001619364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004266378,"about_ca_topic_score_gemma":0.000002788197,"domain_scores_codex":[0.9991677,0.00007987249,0.0001085271,0.0002595615,0.0002252132,0.0001591572],"domain_scores_gemma":[0.9992018,0.0002884258,0.0000293255,0.0004132176,0.00002866212,0.00003856228],"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":[0.000007378282,0.00003959358,0.000984737,0.00001340864,0.000002632483,0.00002651459,0.0000514385,0.123441,0.00007332904,0.04668533,0.008860654,0.819814],"study_design_scores_gemma":[0.0001350526,0.00008411205,0.03696131,0.00001849636,3.521624e-7,6.76728e-7,4.482403e-7,0.957116,0.0003289592,0.002996014,0.002279135,0.00007946659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001855348,0.000002067916,0.9917377,0.001939327,0.0004386071,0.00005826563,4.410565e-7,0.0007373793,0.003230842],"genre_scores_gemma":[0.6102186,0.000001007551,0.3887626,0.0007822436,0.00003513567,0.000004164693,0.000004696794,0.000004430892,0.0001871271],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.833675,"threshold_uncertainty_score":0.661936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223603064900592,"score_gpt":0.3224408758381476,"score_spread":0.3000805693480884,"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."}}