{"id":"W2100569771","doi":"10.1109/isspa.2007.4555510","title":"Video shot detection via information theoretic classification","year":2007,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shot (pellet); Computer science; Artificial intelligence; Class (philosophy); Pattern recognition (psychology); Point (geometry); Precision and recall; Frame (networking); One shot; Transmission (telecommunications); Single shot; Recall; Computer vision; Data mining; Mathematics","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":[0.001205069,0.0009007517,0.001418555,0.005641315,0.000482312,0.00137123,0.001673645,0.001064879,0.0008239705],"category_scores_gemma":[0.004061638,0.0003843835,0.00102646,0.002255794,0.0007774612,0.001912363,0.0008521443,0.001087426,0.0004916145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013037,"about_ca_system_score_gemma":0.0008281505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551058,"about_ca_topic_score_gemma":0.00279954,"domain_scores_codex":[0.9983339,0.0003485072,0.0001194008,0.0004006953,0.0006697569,0.0001278024],"domain_scores_gemma":[0.9982083,0.0006665178,0.0002356472,0.0002007383,0.0006088412,0.00008009499],"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":[0.0002235387,0.0001875947,0.002462997,0.0002544177,0.0001694299,0.0001570091,0.0002094847,0.041558,0.03320653,0.01381619,0.006051704,0.9017031],"study_design_scores_gemma":[0.00001713382,0.0001355383,0.002256417,0.00002426066,0.00006641355,0.0001768473,0.00006363867,0.9658224,0.01530614,0.01385696,0.002223275,0.00005109021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008098657,0.0003901554,0.9898791,0.0000716514,0.00004212096,0.00006835511,0.00009990737,0.0007500116,0.0005998694],"genre_scores_gemma":[0.2233777,0.0004261824,0.7734876,0.0001260819,0.000173468,0.0001950217,0.0008275647,0.00008290715,0.001303365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005641315,"threshold_uncertainty_score":0.007350147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227015606867386,"score_gpt":0.2317169529064728,"score_spread":0.219446796837799,"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."}}