{"id":"W2376141045","doi":"","title":"Ecological Sensitivity Assessment of Maqu Wetland in Upper Yellow River","year":2014,"lang":"en","type":"article","venue":"Yellow River","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Wetland; Environmental science; Zoning; Woodland; Ecosystem; Geography; Ecology; Physical geography; Hydrology (agriculture); Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673593,0.0003189213,0.0002384237,0.001766506,0.0003917296,0.0006632329,0.0001792459,0.0002375238,0.0007119743],"category_scores_gemma":[0.001313387,0.0001842856,0.0004871355,0.001154623,0.0003242584,0.0004935911,0.0009807537,0.0001355327,0.00003470325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007889384,"about_ca_system_score_gemma":0.0004391498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828937,"about_ca_topic_score_gemma":0.02308369,"domain_scores_codex":[0.9994769,0.0001434631,0.00004578784,0.00009184466,0.000149791,0.00009229025],"domain_scores_gemma":[0.9996508,0.00008836183,0.00005824363,0.000032366,0.0001280716,0.00004202692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001437305,0.00006869725,0.880989,0.0001356994,0.0001989733,0.0007981418,0.001518336,0.0558976,0.014215,0.001618985,0.0004035294,0.0440123],"study_design_scores_gemma":[0.000006438699,0.00006855264,0.9143348,0.00002157884,0.00005049806,0.0002155214,0.001765703,0.07950839,0.001874747,0.001098211,0.001026661,0.00002886778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952324,0.00005179022,0.00347484,0.00002984848,0.000002183288,0.00001693695,0.0001247689,0.00001959539,0.001047707],"genre_scores_gemma":[0.9992305,0.00001885258,0.0005492424,0.000003035389,6.986557e-7,0.000007902553,0.00005883181,0.000001602515,0.0001292314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01828937,"threshold_uncertainty_score":0.03636587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007804871601599987,"score_gpt":0.2099656803109507,"score_spread":0.2021608087093507,"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."}}