{"id":"W4416402710","doi":"10.23919/fruct67853.2025.11239200","title":"AVQS: Advanced Video Querying System for Machine Learning Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; University of Windsor","funders":"","keywords":"Metadata; Minimum bounding box; Object (grammar); Video tracking; Object detection; Volume (thermodynamics); Bounding overwatch; Range (aeronautics)","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":[0.001592504,0.001136827,0.000761279,0.001719144,0.0005820267,0.001549495,0.002707107,0.001297726,0.01910695],"category_scores_gemma":[0.004364209,0.0004652636,0.0005070026,0.001270885,0.0002958654,0.002383042,0.002285132,0.0008900795,0.01222266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849685,"about_ca_system_score_gemma":0.0008636214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005188677,"about_ca_topic_score_gemma":0.004573,"domain_scores_codex":[0.9990908,0.0001547885,0.0001158477,0.0002682882,0.0002871059,0.00008316027],"domain_scores_gemma":[0.9987704,0.0003074646,0.00007915274,0.0003068029,0.0004392886,0.00009673307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002121717,0.0003214714,0.003942661,0.001029222,0.0001506096,0.0004450225,0.000501118,0.006682166,0.05646339,0.01120906,0.5080982,0.4090352],"study_design_scores_gemma":[0.0007484269,0.000611553,0.005303015,0.0002350561,0.00009365848,0.0008056964,0.0003442595,0.5425068,0.09179309,0.02417317,0.3330988,0.0002863946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01402299,0.001040662,0.4680309,0.0006825597,0.0002783381,0.0009712205,0.02474512,0.47932,0.01090811],"genre_scores_gemma":[0.2376094,0.001202052,0.5995104,0.002280882,0.0003499055,0.00228514,0.1205163,0.01255098,0.02369493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01910695,"threshold_uncertainty_score":0.06391913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296607479960618,"score_gpt":0.3066727162237333,"score_spread":0.2937066414241271,"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."}}