{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003844876,0.0007465329,0.0004678417,0.001222199,0.000444449,0.0007879632,0.0008424136,0.0004648753,0.006419189],"category_scores_gemma":[0.0009120318,0.0002508728,0.0004336441,0.001052294,0.0003397058,0.00118718,0.0007807658,0.0006288305,0.002447154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005142836,"about_ca_system_score_gemma":0.0003304358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980702,"about_ca_topic_score_gemma":0.00248551,"domain_scores_codex":[0.9997328,0.00003022885,0.00001273524,0.00006930719,0.0001194611,0.00003548024],"domain_scores_gemma":[0.9996805,0.00005408487,0.00002399189,0.00008244834,0.0001239325,0.00003511477],"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":[0.0004950298,0.00006340431,0.0003432236,0.0001449871,0.00003750306,0.0001266445,0.0001641336,0.02815893,0.2435552,0.009073743,0.01362992,0.7042073],"study_design_scores_gemma":[0.00009499389,0.0002716174,0.001719433,0.0000278223,0.00004567321,0.0003614587,0.0001451586,0.5824793,0.3626975,0.01170033,0.04037683,0.00008000989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01880142,0.0003487353,0.9752588,0.0001671469,0.0002078947,0.0001038601,0.0002595593,0.001965203,0.002887267],"genre_scores_gemma":[0.1282678,0.000405708,0.8602706,0.00007687184,0.0002418752,0.00009852502,0.001229522,0.0004924675,0.008916695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006419189,"threshold_uncertainty_score":0.0214743,"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."}}