{"id":"W4288070419","doi":"10.18280/ts.390323","title":"Artificial Intelligence Based Social Distance Monitoring in Public Areas","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social distance; Computer science; Scope (computer science); Perspective (graphical); Artificial intelligence; Coronavirus disease 2019 (COVID-19); Computer vision; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003995373,0.0005764798,0.000469929,0.001803082,0.0004240359,0.0007113646,0.0007228843,0.0006416937,0.0005846014],"category_scores_gemma":[0.001155616,0.0001481762,0.0003297699,0.001230627,0.0002254578,0.0009057925,0.0006972207,0.0004147969,0.000298388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000632038,"about_ca_system_score_gemma":0.0003537295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008150889,"about_ca_topic_score_gemma":0.008319897,"domain_scores_codex":[0.9994169,0.0001137527,0.00003712658,0.0002056624,0.0001435092,0.00008291638],"domain_scores_gemma":[0.9994767,0.0001311649,0.0001126655,0.00006181744,0.0001667914,0.00005079186],"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":[0.0005871017,0.001043993,0.07363302,0.0003451051,0.0002104863,0.0007782843,0.0006154405,0.1623823,0.02143227,0.003601409,0.009972295,0.7253983],"study_design_scores_gemma":[0.00001371316,0.00018133,0.04054921,0.00002652949,0.00003706062,0.000194134,0.0004923746,0.9443343,0.007218983,0.002562397,0.004368383,0.00002168419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561274,0.001153511,0.131159,0.0004531877,0.0001358034,0.0001765316,0.001630459,0.001288982,0.007875005],"genre_scores_gemma":[0.9605061,0.0002381416,0.03575064,0.00005632491,0.00004155527,0.00005649205,0.001732093,0.00001777042,0.001600894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008150889,"threshold_uncertainty_score":0.01620686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037103933049005,"score_gpt":0.3108529784534568,"score_spread":0.2204819391229667,"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."}}