{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287005,0.0002463002,0.0001905708,0.002862533,0.001337572,0.003042454,0.0003725187,0.0004316554,0.002366624],"category_scores_gemma":[0.002254514,0.0001110983,0.0002455455,0.00213474,0.01023156,0.004176798,0.001471271,0.0007910422,0.0002093255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630748,"about_ca_system_score_gemma":0.001548105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277463,"about_ca_topic_score_gemma":0.001502374,"domain_scores_codex":[0.9990352,0.0005586534,0.00007978747,0.00008827289,0.0001689389,0.00006902496],"domain_scores_gemma":[0.9985318,0.000782913,0.0002598844,0.0001270506,0.0002239942,0.00007437915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001370817,0.00004300446,0.01496077,0.0006122368,0.00003121864,0.0006549086,0.1030277,0.0001484248,0.009332536,0.8057151,0.0009315921,0.06440529],"study_design_scores_gemma":[0.00004093087,0.0002141516,0.07962535,0.000977092,0.00012822,0.004686885,0.2583681,0.001573083,0.006749465,0.537936,0.1096102,0.00009055694],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7435385,0.005997811,0.0526081,0.004236619,0.0003494204,0.0001397915,0.0002832793,0.00009898781,0.1927475],"genre_scores_gemma":[0.9937955,0.0004523222,0.00432135,0.00008700485,0.00003123554,0.00002434039,0.00006878582,0.000008447219,0.001210988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003042454,"threshold_uncertainty_score":0.011832,"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."}}