{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214933,0.0003600969,0.0003960214,0.001720234,0.000806248,0.001780993,0.0003789094,0.000549481,0.008294359],"category_scores_gemma":[0.001847951,0.000489463,0.0004048261,0.001309677,0.001163966,0.0008373221,0.0009485051,0.000814546,0.003192744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006243741,"about_ca_system_score_gemma":0.00179806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004011528,"about_ca_topic_score_gemma":0.005614039,"domain_scores_codex":[0.9992033,0.0001196294,0.00005253808,0.0001428208,0.000409633,0.00007210172],"domain_scores_gemma":[0.9992797,0.0001699104,0.000129021,0.0001536835,0.0002302104,0.00003743955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002605274,0.0001177725,0.007961674,0.0006062458,0.00005911413,0.001268459,0.002773328,0.006564712,0.2305885,0.1922579,0.004462037,0.5530797],"study_design_scores_gemma":[0.00009578709,0.0004017889,0.02329388,0.0002827426,0.0001935464,0.00564395,0.002315372,0.01121399,0.2348372,0.08673216,0.6346254,0.0003641895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2300753,0.01564511,0.5491083,0.001775098,0.0009498725,0.0002713448,0.001082063,0.001200492,0.1998925],"genre_scores_gemma":[0.7007537,0.008110733,0.264884,0.0001357873,0.0001900875,0.0003141063,0.0003908415,0.0003184876,0.02490231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008294359,"threshold_uncertainty_score":0.02774745,"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."}}