{"id":"W6945315088","doi":"10.24411/2411-0450-2020-10400","title":"ОСОБЕННОСТИ РАЗВИТИЯ КАЛУЖСКОГО ФАРМАЦЕВТИЧЕСКОГО КЛАСТЕРА В УСЛОВИЯХ ВНЕШНИХ ВЫЗОВОВ: ПАНДЕМИЯ КОРОНАВИРУСА","year":2020,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Historical, Literary, and Cultural Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Coronavirus","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":[0.002217561,0.0004720197,0.0003923076,0.002063988,0.003858974,0.009266153,0.0008200618,0.002590027,0.02461766],"category_scores_gemma":[0.005707715,0.000539089,0.0005770188,0.002125257,0.006396868,0.004502422,0.002791624,0.002461617,0.00585858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003983778,"about_ca_system_score_gemma":0.006983195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009809562,"about_ca_topic_score_gemma":0.01103365,"domain_scores_codex":[0.9970815,0.000759462,0.0001417368,0.0005390499,0.001165499,0.0003127679],"domain_scores_gemma":[0.9971243,0.0009430454,0.0003813526,0.0004228256,0.0008538038,0.0002747092],"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":[0.00004119255,0.00003206853,0.001984504,0.0002416463,0.0000214454,0.0004768616,0.004301046,0.0008046833,0.001793763,0.9080804,0.01182392,0.07039856],"study_design_scores_gemma":[0.00001772684,0.0000398587,0.003741096,0.0003740829,0.00003697558,0.0006583736,0.004326695,0.0009532165,0.002203089,0.3385797,0.6490013,0.00006784087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04287656,0.02105763,0.06865444,0.02536523,0.002124965,0.0002125703,0.0007446234,0.0003032338,0.8386607],"genre_scores_gemma":[0.7398075,0.01941497,0.05779813,0.002198387,0.0009728378,0.0003887419,0.0004815559,0.0003443649,0.1785935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02461766,"threshold_uncertainty_score":0.08235419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754190799739477,"score_gpt":0.2179278246668711,"score_spread":0.1703859166694763,"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."}}