{"id":"W2124086367","doi":"10.1109/pacrim.2009.5291297","title":"Classification of categorical sequences","year":2009,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Categorical variable; Computer science; Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Class (philosophy); k-nearest neighbors algorithm; Matching (statistics); Domain (mathematical analysis); Noise (video); Data mining; Machine learning; Mathematics; Statistics","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":[0.001279847,0.000507919,0.0008035279,0.005379891,0.0006706055,0.001267694,0.001093592,0.00100446,0.003380488],"category_scores_gemma":[0.01055149,0.0001285798,0.0005861678,0.004709754,0.0005645701,0.001849442,0.0009112483,0.0008132264,0.001778609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007060294,"about_ca_system_score_gemma":0.0007769332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700686,"about_ca_topic_score_gemma":0.001510076,"domain_scores_codex":[0.997981,0.0003471178,0.0002595813,0.000416156,0.0008209992,0.0001751183],"domain_scores_gemma":[0.9929756,0.002192013,0.0008736746,0.0009902741,0.002555409,0.0004129986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009328845,0.0003244021,0.07056905,0.0009437685,0.0001056438,0.0007812492,0.0006813394,0.02182293,0.02330751,0.02182099,0.01140408,0.8473061],"study_design_scores_gemma":[0.00008657341,0.0009004259,0.06764404,0.000390737,0.0001123623,0.003446038,0.002540455,0.7205885,0.02813988,0.1096096,0.06634796,0.0001933774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.338165,0.003204747,0.6292047,0.0009939473,0.0007062457,0.0006814444,0.009834702,0.003599561,0.01360964],"genre_scores_gemma":[0.70268,0.001145278,0.2738348,0.0002541708,0.0002762439,0.0004543824,0.01593205,0.0001459076,0.005277085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005379891,"threshold_uncertainty_score":0.01130885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642165014761104,"score_gpt":0.2826094087252807,"score_spread":0.2561877585776696,"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."}}