{"id":"W2573774292","doi":"10.23888/hmj2016494-99","title":"METHODICS OF ANALYSIS OF MICROELEMENTS ACTIVE COMPOUNDS IN MEDICINE «BERES DROPS PLUS»","year":2016,"lang":"ru","type":"article","venue":"Nauka molodykh (Eruditio Juvenium)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Traditional medicine; Chemistry; Chromatography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008690354,0.0007331514,0.0004023987,0.001669521,0.0005740643,0.0007010688,0.0008255981,0.0008143383,0.003324191],"category_scores_gemma":[0.001087338,0.0004227196,0.0005329245,0.0006637539,0.0005878735,0.0006068115,0.0008951426,0.0009002905,0.001433542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562234,"about_ca_system_score_gemma":0.001007547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142688,"about_ca_topic_score_gemma":0.002449158,"domain_scores_codex":[0.998594,0.0002916147,0.00006431292,0.0003301653,0.0006435215,0.00007635061],"domain_scores_gemma":[0.9995441,0.0001698238,0.00004488923,0.00005517932,0.0001609085,0.00002509231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003679727,0.00007399904,0.002324101,0.0005945499,0.00008768382,0.0001704166,0.0003121147,0.0003357535,0.9235346,0.003417438,0.0005834891,0.06819802],"study_design_scores_gemma":[0.00003837062,0.0003301013,0.005343861,0.0000673453,0.0001192925,0.0006712911,0.0002763476,0.004444748,0.9667485,0.001280496,0.02061822,0.00006146989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2810848,0.02456115,0.6643097,0.0006202918,0.0009709999,0.0008363448,0.001474328,0.001535137,0.0246073],"genre_scores_gemma":[0.5427236,0.01180791,0.4191526,0.0003302853,0.0001299583,0.001242988,0.0006873445,0.0002664327,0.02365891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003324191,"threshold_uncertainty_score":0.0111205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05847074784492244,"score_gpt":0.348364536794349,"score_spread":0.2898937889494266,"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."}}