{"id":"W3199344663","doi":"10.47470/0016-9900-2021-100-9-882-889","title":"Hygiene in supporting scientific and technological development of the country and sanitary and epidemiological welfare of the population (to the 130th anniversary of the Federal Scientific Centre of Hygiene named after F.F. Erisman)","year":2021,"lang":"en","type":"article","venue":"Hygiene and Sanitation","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Multidisciplinary approach; Service (business); Hygiene; Hazard; Quarter (Canadian coin); Political science; Business; Economic growth; Environmental health; Medicine; Geography; Marketing; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002286598,0.0001137394,0.0003354901,0.00009922762,0.0004166372,0.0000250885,0.00009933172,0.0001244477,0.000007990631],"category_scores_gemma":[0.001165145,0.00005452174,0.00003838389,0.0007187533,0.0005594774,0.00008145332,0.0002111852,0.0001835426,7.646666e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004410012,"about_ca_system_score_gemma":0.0003161042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003352956,"about_ca_topic_score_gemma":0.001161531,"domain_scores_codex":[0.9980276,0.0004111938,0.000697251,0.0003082197,0.0003401201,0.0002156178],"domain_scores_gemma":[0.998826,0.000159415,0.0003425756,0.000298652,0.0003055002,0.00006782148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000738111,0.00008070269,0.9460317,0.0007064501,0.00001586387,0.000002558063,0.006868518,0.000008685661,0.005222648,0.0008868447,0.00005491701,0.04004727],"study_design_scores_gemma":[0.000366289,0.00004897869,0.9876203,0.0004064823,0.00001699993,0.00002429954,0.008739261,0.0001416001,0.00151549,0.0002200463,0.0008459805,0.0000542802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881611,0.001013438,0.00001815845,0.009952294,0.0001637606,0.0006141679,0.00003591046,0.000005072488,0.00003608168],"genre_scores_gemma":[0.9992457,0.0000278345,0.0004856685,0.0001460537,0.00001290676,0.00000906153,0.00001980388,0.000005406067,0.00004757776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04158856,"threshold_uncertainty_score":0.3204478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213422547565625,"score_gpt":0.2871150916210026,"score_spread":0.2649808661453463,"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."}}