{"id":"W28799050","doi":"10.1007/s11356-017-9864-x","title":"Определение содержания цитокинов в решении основных клинических задач","year":2012,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Disease; Intensive care medicine; Pathology","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":[0.0008696097,0.0003854522,0.0003666215,0.001759184,0.001658652,0.0028936,0.0005427602,0.0007143476,0.01453593],"category_scores_gemma":[0.002248349,0.0005533382,0.0004556454,0.002036157,0.00180742,0.001102046,0.001036864,0.001397126,0.005320948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741335,"about_ca_system_score_gemma":0.003536982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176137,"about_ca_topic_score_gemma":0.01495846,"domain_scores_codex":[0.998811,0.000155513,0.00005548827,0.0002140824,0.0006191605,0.0001448062],"domain_scores_gemma":[0.9988525,0.0002158087,0.0001688428,0.0002299023,0.0004591102,0.00007376983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001361975,0.00007952942,0.005194649,0.0004480038,0.00004175881,0.001398998,0.002271929,0.005080702,0.06323921,0.5145836,0.0109775,0.3965479],"study_design_scores_gemma":[0.00003531163,0.0001263752,0.01022162,0.0001884019,0.00006633312,0.002529477,0.001813365,0.004276228,0.05221544,0.1086064,0.8197215,0.0001995696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1354294,0.01997525,0.3538092,0.003939375,0.001973648,0.0002731745,0.001680986,0.0009485794,0.4819704],"genre_scores_gemma":[0.6683701,0.01442129,0.2103588,0.0003434414,0.0003636793,0.0003792121,0.0006686184,0.0004445921,0.1046503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01453593,"threshold_uncertainty_score":0.04862756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380515843711933,"score_gpt":0.2803125260018358,"score_spread":0.2665073675647165,"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."}}