{"id":"W2901040364","doi":"","title":"Влияние электромагнитного излучения терагерцового диапазона на частотах молекулярного спектра оксида азота на коагуляционный гемостаз у пациентов с различными формами стенокардии","year":2006,"lang":"ru","type":"article","venue":"CARDIOVASCULAR THERAPY AND PREVENTION","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Partial thromboplastin time; Fibrinolysis; Antithrombin; Medicine; Angina; Internal medicine; Unstable angina; Coagulation; Anesthesia; Cardiology; Heparin; Coronary heart disease; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00176805,0.001642908,0.002076567,0.000454125,0.001576692,0.0007888468,0.0009716477,0.001011725,0.0009137137],"category_scores_gemma":[0.000176943,0.001495912,0.003626768,0.001351882,0.0008351917,0.001036856,0.0003687535,0.001118026,0.00052851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767933,"about_ca_system_score_gemma":0.0001808399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004919956,"about_ca_topic_score_gemma":0.00005918952,"domain_scores_codex":[0.9888231,0.002722506,0.001509564,0.003151409,0.001870165,0.001923323],"domain_scores_gemma":[0.9959541,0.0003829731,0.0005968869,0.002293946,0.0002335319,0.0005385839],"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":[0.003090697,0.009241498,0.01423148,0.0009933857,0.008356011,0.003101841,0.001119328,0.002889638,0.03534338,0.01768087,0.009667617,0.8942842],"study_design_scores_gemma":[0.04322828,0.008258265,0.1771263,0.001059612,0.00550193,0.0009889831,0.0004801599,0.001514583,0.04932909,0.1499292,0.555021,0.007562597],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8543866,0.1201684,0.003688149,0.000954098,0.002820123,0.004014331,0.0002622014,0.0005731098,0.01313304],"genre_scores_gemma":[0.9519935,0.03742101,0.0002549295,0.001240866,0.001041126,0.0003491935,0.0002271047,0.0002412205,0.007231025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8867217,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565340377175279,"score_gpt":0.2462436084745764,"score_spread":0.2105902047028236,"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."}}