{"id":"W31236214","doi":"10.1002/ece3.5130","title":"Влияние атенолола на показатели гемодинамики и гемостаза у больных Pi + р2-адренозависимым патогенетическим типом гипертонической болезни","year":2005,"lang":"en","type":"article","venue":"Успехи современного естествознания","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000635783,0.0002888817,0.0002874032,0.001019965,0.001037305,0.00235741,0.0004026268,0.0004770183,0.01236161],"category_scores_gemma":[0.001261241,0.0004816376,0.0003697581,0.0009778716,0.0009460485,0.001102202,0.0008519933,0.00112215,0.004686562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009338621,"about_ca_system_score_gemma":0.001685324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812119,"about_ca_topic_score_gemma":0.006694024,"domain_scores_codex":[0.9994856,0.00004624402,0.00002498682,0.0001279132,0.0002362054,0.00007897832],"domain_scores_gemma":[0.9995207,0.00007785936,0.00009637104,0.00005998904,0.0001839094,0.0000612758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000240914,0.0002048768,0.01208431,0.00069569,0.00006448701,0.0008292913,0.00234831,0.003407231,0.4595018,0.1496994,0.004763589,0.3661601],"study_design_scores_gemma":[0.0000762945,0.0007108862,0.0480676,0.0002025599,0.0001329308,0.001780599,0.002678396,0.00551417,0.3131561,0.06425891,0.5631772,0.000244322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4745804,0.02001172,0.1321816,0.002260935,0.001209109,0.0003457677,0.001426082,0.001151357,0.3668331],"genre_scores_gemma":[0.9000794,0.008558919,0.04951432,0.000147898,0.0001293625,0.0003503706,0.0004799175,0.0001982239,0.04054154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236161,"threshold_uncertainty_score":0.0413537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006093914881414038,"score_gpt":0.2195209525478465,"score_spread":0.2134270376664324,"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."}}