{"id":"W7096344025","doi":"","title":"R&D status of ERIC-7 and MADIS: two systems for MPEG-7 indexing/search of audio-visual content","year":2005,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search engine indexing; XML; Schema (genetic algorithms); Encoding (memory); Modalities; Interface (matter); Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01286414,0.001024632,0.0008485549,0.003774935,0.0007284461,0.005565062,0.003340194,0.001378151,0.01421273],"category_scores_gemma":[0.01079787,0.0007428876,0.0004098217,0.002443009,0.002654055,0.003593497,0.001197541,0.001484984,0.005454182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004495054,"about_ca_system_score_gemma":0.006091164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072304,"about_ca_topic_score_gemma":0.01066356,"domain_scores_codex":[0.9959068,0.0006419833,0.0002508321,0.000493033,0.002161746,0.0005455107],"domain_scores_gemma":[0.9880764,0.002022356,0.0009003176,0.001321893,0.006488277,0.001190669],"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":[0.001064877,0.0004538423,0.004210048,0.0008982141,0.00009167464,0.0002767347,0.0009618564,0.00176395,0.04803278,0.04465925,0.03100726,0.8665795],"study_design_scores_gemma":[0.000371016,0.003142779,0.007382829,0.0006142309,0.0002742435,0.001197515,0.0007900054,0.02634627,0.1834788,0.003959156,0.7721892,0.0002539857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1269185,0.1029959,0.516408,0.008302324,0.001853897,0.003198673,0.003248466,0.02316798,0.2139064],"genre_scores_gemma":[0.2868647,0.03974656,0.4943222,0.001521854,0.001344504,0.001398135,0.01388471,0.002600177,0.1583171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02072304,"threshold_uncertainty_score":0.0680328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08388920865476372,"score_gpt":0.330998191189895,"score_spread":0.2471089825351313,"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."}}