{"id":"W3176285440","doi":"","title":"Медицинская маска как средство индивидуальной и коллективной защиты в условиях пандемии COVID-19 (кросс-культурные аспекты) : DOI: 10.33876/2311-0546/2020-51-3/74-91","year":2021,"lang":"ru","type":"article","venue":"Вестник антропологии (Herald of Anthropology)","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residence; Respondent; Government (linguistics); Social distance; Population; Pandemic; Collectivism; Psychology; Coronavirus disease 2019 (COVID-19); Demography; Medicine; Socioeconomics; Social psychology; Geography; Environmental health; Individualism; Political science; Sociology","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":[0.001887422,0.0002630191,0.0002884722,0.001382885,0.001048502,0.004624272,0.0004686963,0.001020994,0.02405346],"category_scores_gemma":[0.003441388,0.0003639651,0.0003111019,0.001623303,0.002051997,0.002007486,0.001678954,0.001253509,0.008001972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009222268,"about_ca_system_score_gemma":0.002234055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256656,"about_ca_topic_score_gemma":0.002881175,"domain_scores_codex":[0.9980718,0.0005054288,0.0001257401,0.0002004649,0.0009273725,0.0001692181],"domain_scores_gemma":[0.9981436,0.0006625733,0.0002502041,0.0002543827,0.0004994888,0.0001897557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000161674,0.00013911,0.006113269,0.001062581,0.00004384358,0.001416256,0.006766653,0.001021637,0.01760755,0.2494189,0.03564268,0.6806058],"study_design_scores_gemma":[0.00003213605,0.000107765,0.009082627,0.0004379174,0.00004153918,0.002239403,0.002938102,0.0009158703,0.007444838,0.0487303,0.9279351,0.0000942271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1039732,0.04916633,0.08604379,0.01463753,0.003714094,0.0005147989,0.0009745706,0.0006196364,0.740356],"genre_scores_gemma":[0.7768437,0.04236716,0.07027078,0.0009693211,0.001484836,0.0006311469,0.0005131899,0.0003526372,0.1065671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02405346,"threshold_uncertainty_score":0.08046681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07410834995798703,"score_gpt":0.451013139892941,"score_spread":0.376904789934954,"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."}}