{"id":"W2005695412","doi":"10.1142/s0219878911002501","title":"STORYBOARD OF WCE VIDEO EXTRACTION BASED ON FRAME DIFFERENCE","year":2011,"lang":"en","type":"article","venue":"International Journal of Information Acquisition","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Qilu Hospital of Shandong University","keywords":"Storyboard; Computer science; Frame (networking); Shot (pellet); Artificial intelligence; Computer vision; Volume (thermodynamics); Multimedia; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005154508,0.00009472073,0.0001478333,0.0007391384,0.00003933454,0.0001231367,0.0006328428,0.00005600965,0.000199485],"category_scores_gemma":[0.0001411703,0.00008252766,0.0001304035,0.0002221194,0.00002407317,0.003021013,0.00003482551,0.00013563,0.00003197294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231366,"about_ca_system_score_gemma":0.00008844252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000189683,"about_ca_topic_score_gemma":9.800068e-7,"domain_scores_codex":[0.9981069,0.00006827671,0.0007868852,0.00007298368,0.0008827552,0.00008219067],"domain_scores_gemma":[0.9970055,0.00007554866,0.001266286,0.0001768645,0.001418979,0.00005687402],"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":[0.002645603,0.002222596,0.01606244,0.0001017448,0.0006598774,0.00004996022,0.009999673,0.05329155,0.02229983,0.3196263,0.004705191,0.5683352],"study_design_scores_gemma":[0.00257342,0.001400642,0.1819014,0.0004106625,0.0000551386,0.00008483726,0.000238731,0.7690784,0.03158477,0.009429573,0.002869146,0.0003732015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02739132,0.000008853863,0.9675584,0.0004060486,0.0008924842,0.00005151899,0.000005382142,0.00001938024,0.003666561],"genre_scores_gemma":[0.9805833,0.00001560437,0.01823922,0.001043518,0.00008088208,0.000002012109,0.00001828081,0.000002835906,0.00001440849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9531919,"threshold_uncertainty_score":0.336538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337402082957837,"score_gpt":0.2453886850480445,"score_spread":0.2320146642184661,"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."}}