{"id":"W1763634","doi":"10.3109/00016489109100764","title":"Роль фармакоэпидемиологических исследований в стандартизации подходов к терапии сердечно-сосудистых заболеваний","year":2008,"lang":"en","type":"article","venue":"Dalʹnevostočnyj medicinskij žurnal","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005789881,0.0001822665,0.0002464362,0.0009773341,0.0005075714,0.001546473,0.0002070821,0.0003462399,0.006088191],"category_scores_gemma":[0.001195441,0.0002575906,0.0001726369,0.0009596769,0.0007191518,0.00048358,0.0004079788,0.0004375538,0.001501319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007043217,"about_ca_system_score_gemma":0.001520384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004680023,"about_ca_topic_score_gemma":0.007983065,"domain_scores_codex":[0.9996023,0.00007416053,0.00002695891,0.00008680653,0.0001619475,0.00004791466],"domain_scores_gemma":[0.9994969,0.0001545716,0.0001345981,0.00004067359,0.0001264004,0.00004672028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004780711,0.0002050066,0.05174948,0.000786145,0.00008570382,0.00157553,0.00295433,0.001739119,0.2356328,0.03877564,0.003732579,0.6622856],"study_design_scores_gemma":[0.000152013,0.0009540488,0.3377777,0.0004286312,0.0003234765,0.008820682,0.003674775,0.003530419,0.1502571,0.02356854,0.4702463,0.0002663544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006552,0.05739183,0.03491108,0.001782222,0.0003817588,0.0001826739,0.00129516,0.0001392572,0.1032608],"genre_scores_gemma":[0.9292638,0.02159339,0.02881383,0.0001210261,0.000107654,0.0001696902,0.000630893,0.00004892109,0.01925081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006088191,"threshold_uncertainty_score":0.02036703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294950793089381,"score_gpt":0.2535570818758693,"score_spread":0.2206075739449755,"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."}}