{"id":"W4226379221","doi":"10.55491/2411-6076-2021-4-59-69","title":"NEOLOGISMS THAT APPEARED IN THE VOCABULARY OF KAZAKHSTANIS DURING THE CORONAVIRUS PANDEMIC","year":2021,"lang":"en","type":"article","venue":"Tiltanym","topic":"Cultural, Linguistic, Economic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Meaning (existential); Pandemic; Neologism; Vocabulary; Linguistics; Kazakh; Coronavirus; History; Sociology; Political science; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007470886,0.00009152748,0.0001841564,0.00001652497,0.0003834084,0.00004142413,0.0004124679,0.00006087813,0.0002841501],"category_scores_gemma":[0.000791424,0.00005652576,0.00006742323,0.0002038837,0.0004590992,0.00004733005,0.0001216465,0.0001626929,0.00002933493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037343,"about_ca_system_score_gemma":0.00007702297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567786,"about_ca_topic_score_gemma":0.01566424,"domain_scores_codex":[0.9988696,0.0002648429,0.0002076576,0.0001812136,0.0002106058,0.000266094],"domain_scores_gemma":[0.9991128,0.0004570198,0.0001044372,0.0002405108,0.00006223299,0.0000229696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006975953,0.0001219685,0.702042,0.00005143521,0.0001516687,0.000185572,0.2451704,0.00007987767,0.003581266,0.04178036,0.001641016,0.005124689],"study_design_scores_gemma":[0.0005245462,0.00002040348,0.7657299,0.00005437168,0.00003895138,0.00001898323,0.1797864,0.00003095486,0.0007466167,0.006092397,0.04672584,0.0002306372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570689,0.002550543,0.000003550022,0.001515232,0.0003165352,0.0001925979,0.00001174454,0.00003334291,0.03830752],"genre_scores_gemma":[0.9969891,0.0007186966,0.00003284996,0.0002405368,0.0001893539,0.00001663223,0.000001700304,0.000006084546,0.001805049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06538397,"threshold_uncertainty_score":0.8741013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131321970921469,"score_gpt":0.3437586145964338,"score_spread":0.2306264175042868,"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."}}