{"id":"W3014999315","doi":"10.17308/sorpchrom.2020.20/2387","title":"Об использовании хроматографических терминов и понятий в англоязычных статьях по теме «хроматография»","year":2020,"lang":"ru","type":"article","venue":"Сорбционные и хроматографические процессы","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Chemistry; Computer science","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":[0.004526468,0.0007426957,0.0005893998,0.002014104,0.00451976,0.01471437,0.00128898,0.003237185,0.03460932],"category_scores_gemma":[0.008133352,0.0007206681,0.0008022637,0.001927629,0.01186124,0.00638803,0.004496512,0.004249552,0.01175105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006568555,"about_ca_system_score_gemma":0.01282596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025425,"about_ca_topic_score_gemma":0.01047175,"domain_scores_codex":[0.9924698,0.002379847,0.0003660475,0.001134457,0.00298364,0.0006662325],"domain_scores_gemma":[0.995339,0.00132635,0.0004184658,0.0007839645,0.001576618,0.0005554441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003058303,0.00003211536,0.0006985347,0.0001864511,0.00001828169,0.0001929599,0.003586979,0.0002868844,0.0009285056,0.9428867,0.014469,0.03668306],"study_design_scores_gemma":[0.00002168277,0.00003027947,0.001517526,0.0003655081,0.00002845923,0.0003460091,0.003554034,0.0004433086,0.001514018,0.2459872,0.7461417,0.00005029769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0125672,0.01129517,0.04425818,0.02424726,0.001711774,0.000168054,0.0004187456,0.0002782966,0.9050553],"genre_scores_gemma":[0.5367236,0.01825891,0.07187001,0.005185458,0.001444808,0.0007240898,0.0007450251,0.0006146091,0.3644335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03460932,"threshold_uncertainty_score":0.1157797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09932154147207271,"score_gpt":0.3043536855752814,"score_spread":0.2050321441032087,"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."}}