{"id":"W4289533985","doi":"10.1109/icde53745.2022.00253","title":"Ranked Window Query Retrieval over Video Repositories","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 38th International Conference on Data Engineering (ICDE)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Result set; Information retrieval; Partition (number theory); Metadata; Analytics; Set (abstract data type); Query optimization; Query expansion; Sliding window protocol; Window (computing); Spatial query; Online aggregation; Data mining; Video tracking; Web query classification; Web search query; Object (grammar); Search engine; Artificial intelligence; World Wide Web","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":[0.0005959926,0.0002895648,0.0002636206,0.0003023234,0.0002197672,0.0003624031,0.004289976,0.00006109154,0.0004711013],"category_scores_gemma":[0.0003319147,0.0003155131,0.00008085631,0.0005451513,0.0000391129,0.001626091,0.001915164,0.000726284,0.00002856696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958994,"about_ca_system_score_gemma":0.0001497543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003575383,"about_ca_topic_score_gemma":0.000002118372,"domain_scores_codex":[0.9970569,0.00007127685,0.0004539081,0.0008810432,0.001178209,0.0003586837],"domain_scores_gemma":[0.9976767,0.0001669443,0.0001892973,0.001684782,0.0001650903,0.0001172279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009989823,0.0007265187,0.0008814149,0.0001264346,0.0008490353,0.001261089,0.001237709,0.01414008,0.2581849,0.5844678,0.1124519,0.02467406],"study_design_scores_gemma":[0.001403216,0.0006509253,0.001280803,0.0001518053,0.00003197341,0.0002349055,0.0001017824,0.6275243,0.081937,0.004533432,0.2807577,0.00139214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007571475,0.000206955,0.9775983,0.001610542,0.007719029,0.0004101267,0.0007050089,0.001114344,0.003064212],"genre_scores_gemma":[0.9681069,0.0002306797,0.02697601,0.0007727335,0.0007643306,0.0000660276,0.0006820266,0.00006208774,0.00233918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9605355,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491092786287697,"score_gpt":0.3067557075601421,"score_spread":0.2576464289313725,"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."}}