{"id":"W2355982172","doi":"","title":"The Preliminary Discussion of Technology Specifications Requirements for Sediment Monitoring and Evaluation","year":2007,"lang":"en","type":"article","venue":"Environmental Monitoring in China","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; China; Environmental science; Environmental resource management; Engineering; Geology; Geography","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":[0.00150743,0.0001449034,0.0001120803,0.00006171615,0.0003440739,0.00001176191,0.0001804353,0.00009433711,0.00003484331],"category_scores_gemma":[0.00004498481,0.0001053479,0.00003855396,0.0001311608,0.0003514411,0.0001882397,0.0002113417,0.0001370989,0.00001312353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694961,"about_ca_system_score_gemma":0.000002540383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002641796,"about_ca_topic_score_gemma":0.000004227373,"domain_scores_codex":[0.9984589,0.00005300465,0.0004394458,0.0003093053,0.0004427995,0.0002965822],"domain_scores_gemma":[0.9993611,0.0001273536,0.0001742171,0.0002780243,0.000001104029,0.00005818952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008804061,0.000167138,0.7448598,0.000007581654,0.000007622995,5.460165e-7,0.0006565446,0.0005143075,0.1175216,0.00004903682,0.000009276187,0.1361185],"study_design_scores_gemma":[0.0004707826,0.0001649753,0.8935651,0.0000415903,0.00001750648,0.00000216016,0.001401398,0.0002237662,0.1016313,0.001127472,0.001237518,0.0001164248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997102,0.0004435606,0.0004705858,0.0005101954,0.0004080612,0.0007542856,0.000007345846,0.00001408553,0.0002899221],"genre_scores_gemma":[0.9969679,0.0002591882,0.0023924,0.000002557023,0.00009490801,0.0001120719,0.000007150999,0.00001526186,0.0001485377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487053,"threshold_uncertainty_score":0.4295962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388734308746073,"score_gpt":0.3116495822071306,"score_spread":0.2727761513325233,"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."}}