{"id":"W35023581","doi":"10.1002/mp.15452","title":"Моделирование семантического портрета в \"Эдде\" (на материале английских переводов \"Эдды\")","year":2009,"lang":"ru","type":"article","venue":"Bulletin of Chelyabinsk State University","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brainlab; Atlantic Canada Opportunities Agency","keywords":"Business","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001588749,0.0007355445,0.001206824,0.0005675182,0.001411361,0.000006519733,0.001236611,0.0008481112,0.01191709],"category_scores_gemma":[0.0007458807,0.0008456402,0.0005054661,0.0008632108,0.0007208387,0.000194891,0.0004051488,0.00184514,0.003506823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644827,"about_ca_system_score_gemma":0.001275147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151088,"about_ca_topic_score_gemma":0.0001062007,"domain_scores_codex":[0.993246,0.001585863,0.001404999,0.001083318,0.001133311,0.001546502],"domain_scores_gemma":[0.9940941,0.0007561205,0.001941164,0.001287378,0.0008410817,0.001080106],"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":[0.006307018,0.005034546,0.01652109,0.002240102,0.0007102113,0.0004418017,0.03734597,0.0008138279,0.001889494,0.01913967,0.8820473,0.02750895],"study_design_scores_gemma":[0.005167658,0.0006893831,0.07233597,0.0009134731,0.0002368259,0.000004620959,0.007276439,0.0000802132,0.0004664772,0.0006070888,0.911459,0.0007628342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166796,0.00143172,0.006307862,0.1294957,0.004071083,0.004272506,0.00166778,0.0007634127,0.3353103],"genre_scores_gemma":[0.85889,0.003133046,0.001241586,0.003947962,0.0002667577,0.000002764798,0.000242492,0.00006323472,0.1322121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3422104,"threshold_uncertainty_score":0.9998887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649927994975904,"score_gpt":0.2930274200551882,"score_spread":0.2665281401054292,"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."}}