{"id":"W1125058691","doi":"","title":"100 лет законодательного регулирования качества питьевой воды. Ретроспектива, современное состояние и перспективы","year":2014,"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":"Harmonization; Normative; Standardization; Environmental planning; Population; Legislature; Water quality; Environmental protection; Legislation; Business; China; Environmental science; Natural resource economics; Political science; Environmental health; Law; Economics; Ecology","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":[0.002891661,0.002364336,0.003220499,0.001178229,0.001540184,0.0004741759,0.001719626,0.001437641,0.02677479],"category_scores_gemma":[0.003647823,0.00228097,0.001469455,0.001658052,0.001068361,0.0007252548,0.0007001584,0.003079766,0.03583192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543088,"about_ca_system_score_gemma":0.002576811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009793115,"about_ca_topic_score_gemma":0.0003504753,"domain_scores_codex":[0.9845572,0.001266093,0.003303812,0.003128937,0.002789324,0.004954605],"domain_scores_gemma":[0.9856207,0.001217592,0.001184112,0.004433376,0.0008933828,0.006650873],"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":[0.005680862,0.00612011,0.05839765,0.009871811,0.001259024,0.002028496,0.005723472,0.0001101738,0.002689767,0.02164431,0.6787413,0.207733],"study_design_scores_gemma":[0.01529862,0.004006422,0.07725868,0.002210691,0.002124245,0.0002887637,0.001389782,0.004208388,0.001076746,0.003282628,0.8855247,0.003330265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6300144,0.02778226,0.001342872,0.01736814,0.01702912,0.006230026,0.0007903092,0.002373055,0.2970698],"genre_scores_gemma":[0.9076473,0.001714224,0.0008257617,0.02185982,0.01424856,0.0002999774,0.0006973663,0.0005878461,0.05211918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2776329,"threshold_uncertainty_score":0.9998587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287434120299542,"score_gpt":0.3434183947807339,"score_spread":0.3146749827507797,"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."}}