{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002212924,0.00009680574,0.0001272941,0.00007677436,0.00007810484,0.00001426137,0.00003858174,0.00005644221,0.0003673528],"category_scores_gemma":[0.000008071775,0.00007004434,0.000037479,0.000128735,0.00004996748,0.0002534669,0.00004945551,0.00006871716,0.00008017418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000973411,"about_ca_system_score_gemma":0.000001087039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464251,"about_ca_topic_score_gemma":0.001345408,"domain_scores_codex":[0.9993179,0.00004739937,0.0001383095,0.0001409707,0.0001310285,0.0002244134],"domain_scores_gemma":[0.999779,0.00001700896,0.0000344888,0.0001106042,0.000003187602,0.00005567183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004936309,0.0001573957,0.9542366,0.000003257117,0.000008735129,0.000001050942,0.0009458405,0.000120088,0.03254468,0.00000766017,0.00003518673,0.0118901],"study_design_scores_gemma":[0.000474518,0.00007101428,0.8291543,0.000008942157,0.0000208772,0.000002165008,0.00002479858,0.0001138059,0.169459,0.0001095629,0.0004748479,0.00008621241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958429,0.00002023543,0.000153053,0.00006525913,0.0001081526,0.00009970665,0.000001570027,0.00001733572,0.003691763],"genre_scores_gemma":[0.999707,0.000006442484,0.00005776833,0.00004311455,0.00005166219,0.000006935224,0.000007886933,0.000006526909,0.0001126707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369143,"threshold_uncertainty_score":0.4022255,"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."}}