{"id":"W30875446","doi":"10.1002/anie.201900095","title":"К обоснованию использования учебного перевода при обучении РКИ китайских учащихся","year":2010,"lang":"ru","type":"article","venue":"Ученые записки Забайкальского государственного университета. Серия: Филология, история, востоковедение","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conceptualization; Grammar; Linguistics; Natural language processing; Computer science; Process (computing); Artificial intelligence; Psychology; Philosophy; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.009625998,0.005644698,0.006196305,0.002305041,0.0102028,0.0065488,0.01350441,0.005312501,0.03750877],"category_scores_gemma":[0.003326798,0.005590563,0.005063034,0.00873111,0.007467866,0.007289858,0.003545847,0.01065646,0.01797726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700125,"about_ca_system_score_gemma":0.004089944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0137841,"about_ca_topic_score_gemma":0.05775018,"domain_scores_codex":[0.9648891,0.004308708,0.007280273,0.006756289,0.008145563,0.008620078],"domain_scores_gemma":[0.9725685,0.002262777,0.005391904,0.01116408,0.003546182,0.005066522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002158512,0.01345664,0.014173,0.001392619,0.008029187,0.001034609,0.06156706,0.0005317988,0.1262668,0.2344657,0.3348572,0.2020669],"study_design_scores_gemma":[0.006742671,0.001509322,0.02136439,0.001367674,0.004833906,0.0002966115,0.03453805,0.001913877,0.006098568,0.01357445,0.8972974,0.01046303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5526983,0.01097558,0.0004682973,0.03969267,0.01779164,0.006501074,0.001456932,0.003475601,0.36694],"genre_scores_gemma":[0.895375,0.0076373,0.002987067,0.005011752,0.009370263,0.0007033722,0.001773632,0.001067583,0.07607407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5624403,"threshold_uncertainty_score":0.9959788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326789956530606,"score_gpt":0.3544352552315692,"score_spread":0.3311673556662632,"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."}}