{"id":"W4397005744","doi":"10.5430/wjel.v14n5p194","title":"Lexico-Semantic Field and Conceptual Feature of the Concept \"Ақыл/Mind\"","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Field (mathematics); Computer science; Semantic feature; Semantic field; Natural language processing; Artificial intelligence; Linguistics; Philosophy; Mathematics; Pure 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":[0.0005066383,0.00005750474,0.0001439192,0.00005541218,0.0001393034,0.00009802129,0.0003036812,0.00004068844,0.0002390104],"category_scores_gemma":[0.0008018731,0.00003366818,0.0001434812,0.0003363582,0.0002429573,0.0002129475,0.0000412239,0.0003389356,0.000001066013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001782944,"about_ca_system_score_gemma":0.00006821238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001127797,"about_ca_topic_score_gemma":0.001527251,"domain_scores_codex":[0.9991986,0.0001955953,0.0001801228,0.00006098992,0.0002671081,0.00009759635],"domain_scores_gemma":[0.99922,0.0002751326,0.0001461527,0.0001259343,0.0001859027,0.00004683959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001207282,0.00005438223,0.001785646,0.00002219256,0.000233966,0.00002811341,0.7957852,0.00001882265,0.001368753,0.1133097,0.04703694,0.04034419],"study_design_scores_gemma":[0.0002319409,0.00006149965,0.0009085744,0.0004673166,0.0002352324,0.000003910095,0.4655131,0.00001667385,0.002866328,0.0004911592,0.529107,0.00009738053],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540187,0.04163546,0.00001278806,0.005200546,0.0009166004,0.00009421364,0.000006227107,0.00001386053,0.09810159],"genre_scores_gemma":[0.9915166,0.0002625431,0.00004921203,0.0001378744,0.0005862272,3.936882e-7,8.834799e-7,0.00000370401,0.007442598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.48207,"threshold_uncertainty_score":0.2616996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260463527625259,"score_gpt":0.3058194887247817,"score_spread":0.293214853448529,"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."}}