{"id":"W2136771689","doi":"10.1109/tvcg.2006.194","title":"Visual Signatures in Video Visualization","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society","keywords":"Visualization; Computer science; Data visualization; Visual analytics; Pipeline (software); Information visualization; Set (abstract data type); Interactive visual analysis; Process (computing); Computer vision; Artificial intelligence; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002733361,0.000244838,0.0002496284,0.0009875501,0.0002749789,0.0003537253,0.0002462401,0.0001812062,0.00001726041],"category_scores_gemma":[0.000002790225,0.000249093,0.0001050743,0.002040981,0.0000556001,0.0006733353,0.000006201446,0.0001682511,0.000006047147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003921578,"about_ca_system_score_gemma":0.0000389418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124219,"about_ca_topic_score_gemma":0.0003129691,"domain_scores_codex":[0.9980647,0.0002037748,0.0005077563,0.000557815,0.0004087167,0.0002572184],"domain_scores_gemma":[0.999283,0.00009515959,0.0001286924,0.0002579853,0.000156355,0.00007885021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001467572,0.0005304485,0.0008212195,0.00002407116,0.00002502372,0.000006843106,0.0003132589,0.02935264,0.00008954897,0.9612405,0.0003756732,0.007206125],"study_design_scores_gemma":[0.000576077,0.0001443367,0.003380877,0.00003867714,0.00001657618,0.000003138977,0.00001119415,0.9909449,0.001605464,0.00236792,0.0006272369,0.0002836451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01460249,0.0000738675,0.984329,0.00006282942,0.0003887956,0.0001942939,0.000002823715,0.0002379165,0.0001079685],"genre_scores_gemma":[0.9979258,0.0001516605,0.0007573247,0.000912752,0.00007745902,0.00002229988,0.00002398829,0.00002095284,0.0001077305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835717,"threshold_uncertainty_score":0.9999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009063503889180799,"score_gpt":0.2561166880877572,"score_spread":0.2470531841985764,"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."}}