{"id":"W2049051812","doi":"10.3166/isi.10.1.81-99","title":"A Video Content Independent Mining Algorithm for Evolved Rule-based Detection of Scene Boundaries","year":2005,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; Artificial intelligence; Algorithm; Computer vision; Pattern recognition (psychology); Data mining; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160375,0.0001515841,0.0002438041,0.0003678153,0.0004159948,0.0007018184,0.0003169717,0.0001051602,0.000006237542],"category_scores_gemma":[0.0001822272,0.0001464466,0.0001211952,0.000404689,0.00009274502,0.005362755,0.00004807553,0.00005901944,0.000007223607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647195,"about_ca_system_score_gemma":0.000194857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214733,"about_ca_topic_score_gemma":0.000107636,"domain_scores_codex":[0.9984044,0.00006002586,0.0007664372,0.0001661436,0.0003738106,0.0002291961],"domain_scores_gemma":[0.9983007,0.00006125749,0.0005056729,0.0003172353,0.0007406333,0.00007445122],"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":[0.00002578294,0.00004115064,0.000408915,0.00007385835,0.00003570707,1.50667e-7,0.003271773,0.003285922,0.001894636,0.001236294,0.00002031443,0.9897055],"study_design_scores_gemma":[0.0007671833,0.0001810535,0.002954366,0.00006243531,0.00002501699,0.000003469046,0.0004399636,0.9573045,0.03567091,0.0005690253,0.001851174,0.0001708626],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07476286,0.00006061524,0.9243228,0.00006335149,0.0002132508,0.0003140455,0.00001352618,0.0001176292,0.0001319314],"genre_scores_gemma":[0.8205475,0.000003009181,0.179052,0.0001595869,0.00005569296,0.0000754096,0.00008511097,0.000006205586,0.00001545328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9895346,"threshold_uncertainty_score":0.6767651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967337108960693,"score_gpt":0.22652960568799,"score_spread":0.2068562345983831,"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."}}