{"id":"W2152619202","doi":"10.1109/icme.2004.1394254","title":"Active video object extraction","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Video tracking; Object (grammar); Process (computing); Saccadic masking; Eye movement","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":[0.0006720069,0.001035006,0.001091423,0.003466435,0.0004858208,0.001695811,0.001657429,0.001214173,0.002207814],"category_scores_gemma":[0.00185325,0.00051273,0.0007528928,0.001782883,0.0004645078,0.002275584,0.001144917,0.0008305404,0.001984717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401377,"about_ca_system_score_gemma":0.0004554926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009336121,"about_ca_topic_score_gemma":0.001188645,"domain_scores_codex":[0.9993504,0.00005897173,0.00003818541,0.0001903487,0.0002870999,0.00007489942],"domain_scores_gemma":[0.9992535,0.0002377708,0.0001091522,0.0001457489,0.0002125194,0.00004137568],"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":[0.0001450467,0.00008690546,0.00075872,0.0002232478,0.00004407793,0.0002084263,0.00009009735,0.008261918,0.08231287,0.0074987,0.003490729,0.8968793],"study_design_scores_gemma":[0.00004564986,0.0002470557,0.004105772,0.0001318821,0.0001043588,0.001800838,0.0002204924,0.64614,0.2630348,0.02641645,0.0576713,0.00008129429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008018838,0.0007099217,0.988228,0.00009190816,0.00007733791,0.00008739372,0.0002114457,0.0007964725,0.001778664],"genre_scores_gemma":[0.1117555,0.001316226,0.8794786,0.0001472394,0.0001651635,0.0001412532,0.001230095,0.000199428,0.00556662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003466435,"threshold_uncertainty_score":0.00738585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330716400704745,"score_gpt":0.3121420484727898,"score_spread":0.2988348844657423,"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."}}