{"id":"W2360940772","doi":"","title":"Monitoring and Analysis on Tang River in the Second Quarter,2006","year":2007,"lang":"en","type":"article","venue":"Zhongguo Huanjing Guanli Ganbu Xueyuan xuebao","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Quarter (Canadian coin); Environmental science; Environmental engineering; Water body; Hydrology (agriculture); Water resource management; Geography; Engineering; Geology; Oceanography; Ecology; Archaeology","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":[0.001973615,0.0002590773,0.0002596167,0.0001885224,0.0003302624,0.0000870457,0.0003244923,0.0001323181,0.0005808184],"category_scores_gemma":[0.00004935407,0.0002143126,0.0001346721,0.0008755291,0.0003276013,0.0003528026,0.0001113649,0.0003627698,0.0002549874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327756,"about_ca_system_score_gemma":0.000003939991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007042613,"about_ca_topic_score_gemma":0.001864266,"domain_scores_codex":[0.9976799,0.0001648017,0.000406697,0.000523231,0.0006585449,0.0005667715],"domain_scores_gemma":[0.9989284,0.0003703113,0.0001309278,0.0004466743,0.000003520102,0.0001201787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005706117,0.000215617,0.9751763,0.00001720641,0.00007619098,0.0000652746,0.007833229,0.0007325124,0.006238325,0.0005067811,0.0006530622,0.00842838],"study_design_scores_gemma":[0.0003970232,0.0001049635,0.9879086,0.00002614958,0.0000783176,0.00001025749,0.001775638,0.0001729964,0.003490522,0.0006742089,0.005063012,0.0002983019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851158,0.00009809422,0.0004251081,0.0003352611,0.0001479155,0.0002320053,0.00001623697,0.00003884372,0.01359074],"genre_scores_gemma":[0.9979913,0.0000169452,0.0005677375,0.0006055553,0.0001196136,0.000009446653,0.000007861476,0.00001831143,0.0006632062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01292753,"threshold_uncertainty_score":0.8739413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342360725714722,"score_gpt":0.254650651771331,"score_spread":0.2412270445141838,"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."}}