{"id":"W2755522588","doi":"","title":"Problems of Creation of Etymological Dictionary of Suffixes of Ukrainian Language","year":2009,"lang":"en","type":"article","venue":"Electronic Kyiv-Mohyla Academy Institutional Repository (National University of Kyiv-Mohyla Academy)","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Linguistics; Etymology; Lexeme; Natural language processing; Computer science; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005621414,0.0003121535,0.0006878887,0.000632503,0.0004468946,0.000008258427,0.0005792248,0.0003835981,0.000313593],"category_scores_gemma":[0.0001459404,0.0003136882,0.0004709949,0.0003826929,0.002417127,0.0005565054,0.0001023757,0.0006582021,0.000002489478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001989171,"about_ca_system_score_gemma":0.0005462841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003219148,"about_ca_topic_score_gemma":0.00004063184,"domain_scores_codex":[0.9968472,0.0001836796,0.0009694821,0.0004220148,0.001190898,0.0003866912],"domain_scores_gemma":[0.9976839,0.0002646267,0.001226063,0.0001416249,0.0005911592,0.00009256981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005724231,0.0009628201,0.00164358,0.0003543704,0.0006469529,0.000007919459,0.02366257,0.001425067,0.04165451,0.9276982,0.0004100954,0.0009614922],"study_design_scores_gemma":[0.01358451,0.008132441,0.3599447,0.003373121,0.002036764,0.0003257512,0.0266932,0.001392034,0.2421093,0.07628883,0.2627681,0.00335117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171432,0.004655458,0.0001468161,0.001009008,0.0001333203,0.0004842753,0.0003828437,0.00006570332,0.07597943],"genre_scores_gemma":[0.9977419,0.0004593824,0.0001890491,0.00008832547,0.000256953,0.000002529374,0.00009170005,0.00001138604,0.001158791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8514094,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448199618902501,"score_gpt":0.2300645116216476,"score_spread":0.2155825154326226,"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."}}