{"id":"W2122960198","doi":"10.1109/hicss.2003.1174247","title":"Developing video services for mobile users","year":2003,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"","keywords":"Computer science; Video processing; Search engine indexing; Video tracking; Multimedia; Software; Image processing; Uncompressed video; World Wide Web; Artificial intelligence; Operating system","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":[0.0006441628,0.0005332723,0.0002917548,0.0007609599,0.0005037364,0.001134065,0.001006209,0.00103566,0.005945746],"category_scores_gemma":[0.0017163,0.0002737259,0.0003490459,0.0007632548,0.0002586791,0.002412321,0.001038407,0.0006014675,0.005294251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987709,"about_ca_system_score_gemma":0.000827454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296518,"about_ca_topic_score_gemma":0.002217026,"domain_scores_codex":[0.9996899,0.00006125533,0.00002046825,0.0000470615,0.000117349,0.00006388441],"domain_scores_gemma":[0.9994568,0.00007649285,0.00003172986,0.00007548548,0.0002344378,0.0001249849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004196428,0.0003007707,0.003021063,0.0005130065,0.00003820991,0.0007927519,0.001035905,0.003270824,0.1053364,0.02601902,0.03390239,0.82535],"study_design_scores_gemma":[0.0002780316,0.0009653241,0.008257654,0.0003536902,0.0001538039,0.002228414,0.003207382,0.1539225,0.1428419,0.02456725,0.6631088,0.0001152507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06653489,0.001238248,0.8744401,0.00137384,0.0001823322,0.001659969,0.0006551764,0.02127595,0.03263947],"genre_scores_gemma":[0.2503609,0.002681144,0.7038208,0.0005584625,0.0002292959,0.0006291874,0.002995386,0.002297275,0.03642763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005945746,"threshold_uncertainty_score":0.01989049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694420749523796,"score_gpt":0.2565924874767904,"score_spread":0.2396482799815525,"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."}}