{"id":"W2369676546","doi":"","title":"Detection and analysie on commercial bottled drinking water hygiene of Zhengzhou city in 2009","year":2012,"lang":"en","type":"article","venue":"Xiandai yufang yixue","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottled water; Hygiene; Toxicology; Medicine; Quarter (Canadian coin); Animal science; Mineral water; Environmental health; Environmental science; Environmental engineering; Geography; Biology","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":[0.0002972304,0.000344266,0.0002364505,0.0008848492,0.0005446564,0.0003980823,0.0002694696,0.0003013869,0.00079289],"category_scores_gemma":[0.0003918068,0.000220235,0.0002201466,0.001255791,0.0002716206,0.0002353702,0.0003950828,0.0001413778,0.0001028609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008929418,"about_ca_system_score_gemma":0.0008179772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06622166,"about_ca_topic_score_gemma":0.09019865,"domain_scores_codex":[0.9995932,0.00004346871,0.00003767482,0.00006776485,0.0001700566,0.00008794296],"domain_scores_gemma":[0.9996893,0.00002438571,0.0001075119,0.00001894351,0.0001256943,0.00003407687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003716958,0.00002317128,0.9883073,0.00003267431,0.00001700237,0.0001893052,0.0003265293,0.00004431484,0.005918453,0.00002116389,0.0002100655,0.004872799],"study_design_scores_gemma":[0.000001401909,0.00003177691,0.9985886,0.000002222283,0.000007235489,0.00007440813,0.0002389415,0.0001108935,0.0006697978,0.000005754426,0.0002668421,0.000002044697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990098,0.00007749799,0.0001327962,0.00002951029,0.000002555982,0.00001295072,0.0003831172,0.000007011774,0.0003448196],"genre_scores_gemma":[0.998524,0.00006897878,0.0003025861,0.0000252768,0.00000340198,0.00001221169,0.0006329704,0.000001762085,0.0004288144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06622166,"threshold_uncertainty_score":0.1316724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163305107973799,"score_gpt":0.2232309540782318,"score_spread":0.2115979029984938,"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."}}