{"id":"W2807318936","doi":"","title":"KYOTOU at TAC KBP 2017 Event Track: Neural Network-based Event Sequence Classification Model.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Track (disk drive); Computer science; Sequence (biology); Artificial neural network; Artificial intelligence; Operating system; Genetics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009366366,0.0009295483,0.0006420501,0.001500681,0.0005718632,0.0008841652,0.001481296,0.001029365,0.005342465],"category_scores_gemma":[0.003215272,0.0002989566,0.0005280154,0.001821313,0.0001497941,0.001708315,0.000786119,0.001572586,0.004688954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009695833,"about_ca_system_score_gemma":0.001261785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04051106,"about_ca_topic_score_gemma":0.0501157,"domain_scores_codex":[0.9994961,0.0001014581,0.00003073875,0.0001856462,0.0001181588,0.00006785112],"domain_scores_gemma":[0.9992404,0.0001730987,0.00005167277,0.0001305545,0.0003412316,0.00006299942],"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":[0.00176157,0.001027953,0.02500378,0.000447862,0.0002927697,0.0002368492,0.000178475,0.08002579,0.008677848,0.004814573,0.4319143,0.4456183],"study_design_scores_gemma":[0.00007979543,0.0001539061,0.01272751,0.00004226154,0.00009318467,0.00007056038,0.00009156822,0.9478176,0.005107004,0.004508038,0.0292648,0.00004389044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2941489,0.004055846,0.3929075,0.004619488,0.002899723,0.0009317371,0.2447134,0.02873992,0.0269835],"genre_scores_gemma":[0.5228523,0.000993404,0.1152563,0.0003464437,0.0004576669,0.0007169421,0.3315548,0.0005672317,0.02725484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04051106,"threshold_uncertainty_score":0.08055055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454621363911671,"score_gpt":0.3052338252223662,"score_spread":0.2597716888311991,"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."}}