{"id":"W1155061713","doi":"","title":"Гармонизация микробиологических и паразитологических показателей эпидемической безопасности питьевой воды с международными требованиями","year":2013,"lang":"ru","type":"article","venue":"Гигиена и санитария","topic":"Human Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Water quality; Harmonization; Fecal coliform; Wastewater; Environmental health; Environmental protection; Environmental science; Business; Environmental engineering; Biology; Medicine; Ecology; International trade","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001729463,0.003092731,0.003759744,0.001563561,0.001702523,0.0009597057,0.002160688,0.002250778,0.08512782],"category_scores_gemma":[0.002031479,0.002954728,0.001877885,0.002284008,0.00137727,0.001674421,0.0009980495,0.004003245,0.1065574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422788,"about_ca_system_score_gemma":0.003799698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003134609,"about_ca_topic_score_gemma":0.0003171125,"domain_scores_codex":[0.9811192,0.001054578,0.004171411,0.003810399,0.003351469,0.006492966],"domain_scores_gemma":[0.9824091,0.0009652469,0.001417204,0.004981895,0.001582807,0.00864375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001710861,0.004545356,0.04124711,0.005461335,0.001178403,0.001975906,0.003603762,0.00005844517,0.002635764,0.004883764,0.8481898,0.08450953],"study_design_scores_gemma":[0.02415773,0.004150766,0.3340818,0.004640974,0.003712692,0.0007416869,0.004823671,0.005818834,0.002231142,0.00797495,0.6004236,0.007242235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.706414,0.04111677,0.0004720295,0.03196871,0.01277918,0.01265289,0.0009823671,0.00269211,0.1909219],"genre_scores_gemma":[0.8795666,0.002522339,0.001045046,0.02564779,0.01059463,0.001101557,0.0008516988,0.0007821006,0.07788827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2928346,"threshold_uncertainty_score":0.9995971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721441082630835,"score_gpt":0.3285316799781429,"score_spread":0.3013172691518346,"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."}}