{"id":"W2333027183","doi":"10.1142/9789812791993_0019","title":"MODEL-BASED VIDEO SUMMARIZATION FOR MOBILE USERS","year":2000,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Automatic summarization; Computer science; Multimedia; Information retrieval","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":[0.0006063686,0.0009705574,0.001027394,0.001239175,0.0005157964,0.001140895,0.0007199167,0.0008566803,0.002407742],"category_scores_gemma":[0.002822519,0.0003387844,0.0007054879,0.0008761513,0.0001663462,0.001448499,0.0005307442,0.0006301512,0.001399835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005819982,"about_ca_system_score_gemma":0.0004702709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006321741,"about_ca_topic_score_gemma":0.007098851,"domain_scores_codex":[0.9995438,0.0001273651,0.0000331597,0.0001074163,0.0001352381,0.00005296945],"domain_scores_gemma":[0.9988958,0.000382204,0.00009171006,0.000129451,0.0004558974,0.00004490176],"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":[0.001544153,0.0003778686,0.002455384,0.0003868248,0.0001908595,0.0002809389,0.0003132221,0.1046445,0.07983964,0.003986178,0.01656687,0.7894137],"study_design_scores_gemma":[0.00002831345,0.0001749375,0.000888307,0.00001193096,0.00007076388,0.00009105797,0.0001024369,0.9747525,0.01934415,0.002262703,0.002252807,0.00001997484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04620783,0.0007455794,0.9453468,0.0003521441,0.0001015066,0.0001817157,0.0007301866,0.004586026,0.00174812],"genre_scores_gemma":[0.565832,0.0008172839,0.423747,0.0001276097,0.0001794282,0.0002325375,0.003461661,0.0004147839,0.005187705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006321741,"threshold_uncertainty_score":0.01256984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430849339394425,"score_gpt":0.2421465914348927,"score_spread":0.2278380980409485,"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."}}