{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007036467,0.00006785012,0.00006358154,0.0002132002,0.0001201726,0.0001742129,0.0002364899,0.00005860248,0.00005221795],"category_scores_gemma":[0.00006145532,0.00005728754,0.0000451145,0.0005932108,0.00001693425,0.001709277,0.00003760611,0.00005546615,0.0003695453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519574,"about_ca_system_score_gemma":0.00001591036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004947953,"about_ca_topic_score_gemma":0.00006015145,"domain_scores_codex":[0.9991842,0.00002736007,0.0002817564,0.0001306071,0.0002390311,0.0001370568],"domain_scores_gemma":[0.9993701,0.0000433261,0.00009574282,0.0002976885,0.0001394544,0.00005368795],"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":[0.00000757994,0.00001798277,0.001068703,0.000004766744,0.000008279458,4.281722e-7,0.000440608,0.00007183157,0.009730357,0.473474,0.00005995235,0.5151156],"study_design_scores_gemma":[0.000268765,0.00009544146,0.06447253,0.0000055054,0.00001627781,0.00001484823,0.0001951707,0.8380564,0.05360193,0.03547406,0.007546851,0.000252157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01143588,0.000004637233,0.9510629,0.0003093609,0.000149257,0.00007927752,7.706415e-8,0.0001550679,0.03680351],"genre_scores_gemma":[0.9950264,0.000006428918,0.004208521,0.0005811266,0.00003081473,0.000003947785,0.000009546482,0.000002225355,0.0001309992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835905,"threshold_uncertainty_score":0.4749881,"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."}}