{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008579768,0.001649095,0.001473334,0.004361138,0.0005088838,0.001930725,0.002317504,0.001413008,0.003197935],"category_scores_gemma":[0.004782257,0.000471061,0.001260127,0.004270546,0.0005491878,0.002914298,0.001101414,0.001789616,0.005393211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006862,"about_ca_system_score_gemma":0.0009531367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01393062,"about_ca_topic_score_gemma":0.01057659,"domain_scores_codex":[0.9975847,0.0002458746,0.0001263396,0.001071557,0.0007964636,0.0001751004],"domain_scores_gemma":[0.9984022,0.0003756997,0.0002120617,0.0003215191,0.0006330208,0.00005548164],"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":[0.0001803312,0.0002322341,0.005653217,0.0003755971,0.0002130064,0.00008923248,0.00006552357,0.05454385,0.01402516,0.006215574,0.01268083,0.9057254],"study_design_scores_gemma":[0.00002725548,0.0002212246,0.01134218,0.0001171136,0.00008440742,0.00070252,0.0001041516,0.9287716,0.02748404,0.01030444,0.02074835,0.00009282498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01496807,0.002482949,0.9741441,0.0001342802,0.0001837091,0.0001406042,0.0007035572,0.00298452,0.004258182],"genre_scores_gemma":[0.3964926,0.004198716,0.5806034,0.0003040119,0.0003246616,0.0002328632,0.007156109,0.0004589633,0.01022871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01393062,"threshold_uncertainty_score":0.02769905,"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."}}