{"id":"W21341688","doi":"10.1021/es1038529","title":"Развитие и Совершенствование диспансеризации населения Московской области в современных условиях","year":2008,"lang":"en","type":"article","venue":"Альманах клинической медицины","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Physical examination; Surgery","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":[0.0005697542,0.0003008256,0.000337643,0.001805916,0.0008896137,0.002455547,0.0004245411,0.0005687919,0.007040319],"category_scores_gemma":[0.001417349,0.0005276863,0.0002815548,0.002031884,0.001272703,0.0006322815,0.0004780031,0.0006232864,0.002758959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349201,"about_ca_system_score_gemma":0.002563553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794758,"about_ca_topic_score_gemma":0.03088075,"domain_scores_codex":[0.9990355,0.00009350548,0.00004437921,0.0002404477,0.0004708327,0.000115331],"domain_scores_gemma":[0.9990579,0.0001955092,0.0002042834,0.0001111583,0.0003501123,0.00008096636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002706839,0.00009060141,0.01673101,0.0005573214,0.0000680121,0.001645273,0.002956604,0.004461425,0.4378096,0.05888109,0.003317115,0.4732112],"study_design_scores_gemma":[0.00007080592,0.0004110487,0.09955955,0.0002391403,0.0002166849,0.005631239,0.003481508,0.0101297,0.3054545,0.03677701,0.5376809,0.0003479013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.568978,0.02411688,0.1805948,0.001583084,0.0006245869,0.0002565792,0.00193618,0.0007821615,0.2211279],"genre_scores_gemma":[0.8535098,0.008256662,0.09244799,0.0001129224,0.00009531927,0.0002035084,0.0006657745,0.0002184313,0.04448959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794758,"threshold_uncertainty_score":0.03568625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031283087651796,"score_gpt":0.3626321525439142,"score_spread":0.2595038437787346,"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."}}