{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007596819,0.0004727448,0.0006153418,0.0004122035,0.001200242,0.0004708631,0.001403075,0.0002047084,0.00001784028],"category_scores_gemma":[0.0003447992,0.0004722968,0.0003144216,0.001831308,0.0001101873,0.001254016,0.0006901345,0.000517414,0.00004579993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381449,"about_ca_system_score_gemma":0.0002684243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003831979,"about_ca_topic_score_gemma":0.000008762139,"domain_scores_codex":[0.9965999,0.0001290108,0.0009495216,0.001257908,0.000294664,0.0007690574],"domain_scores_gemma":[0.9969456,0.0007798728,0.0003729692,0.001137447,0.0006016798,0.0001624574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004733762,0.00006497641,0.0001051614,0.000806383,0.00005043577,0.000002446868,0.00008321121,0.0002472374,0.004091216,0.2721942,0.0002597405,0.7220476],"study_design_scores_gemma":[0.00129611,0.0003369474,0.00002702892,0.00110869,0.00009887778,0.00001478837,0.0003627788,0.2741686,0.2000195,0.01401311,0.5077736,0.0007799384],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002131131,0.007429048,0.96895,0.0008733,0.0004453877,0.002960703,0.00001736807,0.001786715,0.01751611],"genre_scores_gemma":[0.39592,0.001070072,0.5753643,0.0007550805,0.0001682197,0.002031808,0.0000229443,0.00005432179,0.02461326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7212677,"threshold_uncertainty_score":0.9997728,"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."}}