{"id":"W2094161515","doi":"10.1145/354384.354534","title":"Video keyframe production by efficient clustering of compressed chromaticity signatures (poster session)","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Cluster analysis; Artificial intelligence; Hierarchical clustering; Automatic summarization; Pattern recognition (psychology); Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0001197345,0.0001168414,0.0001567944,0.00005513359,0.00009555979,0.00005902372,0.0003849449,0.00003546861,0.0003255522],"category_scores_gemma":[0.00002642744,0.00009004662,0.00004191624,0.0002349872,0.00004527912,0.0003757966,0.0001340549,0.0001140071,0.00003774008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002868288,"about_ca_system_score_gemma":0.00001290987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001683242,"about_ca_topic_score_gemma":0.000001026997,"domain_scores_codex":[0.9989015,0.00004916466,0.0002550287,0.0003311841,0.0002732352,0.0001899247],"domain_scores_gemma":[0.9993443,0.00004473096,0.00007278576,0.0004166179,0.00006028968,0.00006128656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005197381,0.0005578907,0.00016311,0.0001596278,0.00002216493,0.000004932182,0.001477515,0.1031741,0.4789413,0.0005057111,0.01478733,0.4001543],"study_design_scores_gemma":[0.0002545229,0.00004077731,0.0008234339,0.0001096562,0.000002273095,0.000006918363,0.00002936434,0.8255121,0.1703262,0.0001318043,0.002610377,0.0001524971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101481,0.0001338502,0.8925604,0.0009169496,0.0002529589,0.0002060397,0.000001179065,0.0002000433,0.00424763],"genre_scores_gemma":[0.9313118,0.000008342762,0.0671441,0.0004928678,0.00002580297,0.000004451332,0.000001688056,0.000007015753,0.001003975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8298308,"threshold_uncertainty_score":0.3671995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785098335547714,"score_gpt":0.2517867282554167,"score_spread":0.2439357448999396,"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."}}