{"id":"W3037074101","doi":"10.5539/cis.v13n3p66","title":"Improvements of Automatic Extraction of FA Words Tendency using Non_linear Approach","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Field (mathematics); Measure (data warehouse); Subject (documents); Artificial intelligence; Data mining; Natural language processing; Mathematics; World Wide Web","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":[0.0002797634,0.00006876012,0.0001147049,0.0002306239,0.00008803604,0.0001344289,0.0006346527,0.00002898573,0.00000279619],"category_scores_gemma":[0.00004333803,0.00005842959,0.00002214282,0.001016779,0.0002090734,0.007573464,0.0003075587,0.00005541608,0.000003243738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001577711,"about_ca_system_score_gemma":0.00008523813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003291,"about_ca_topic_score_gemma":1.252263e-8,"domain_scores_codex":[0.9989688,0.000008833418,0.0003979765,0.0001396887,0.0003729335,0.0001117528],"domain_scores_gemma":[0.9992045,0.00001779193,0.0003249542,0.0002238271,0.000175631,0.00005335417],"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":[0.000004505904,0.00006811717,0.001449164,0.0003074138,0.000009197658,1.223956e-7,0.006872103,0.001143818,0.02542253,0.08977058,0.0001121362,0.8748403],"study_design_scores_gemma":[0.000158371,0.00007933938,0.004823102,0.00001194981,0.000001838613,0.000002672252,0.0001799689,0.9806283,0.01359818,0.0002079933,0.0002440391,0.00006423936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08175416,0.0000149626,0.9170879,0.0002053267,0.0001043865,0.0001208439,0.000001187464,0.00009559282,0.0006156863],"genre_scores_gemma":[0.7670624,0.00001034716,0.2327667,0.0001474246,0.000008427917,0.000001908012,9.010832e-7,8.158185e-7,0.000001120245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9794845,"threshold_uncertainty_score":0.5490579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307921955233852,"score_gpt":0.2794702536111031,"score_spread":0.2463910340587646,"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."}}