{"id":"W2283399057","doi":"10.1007/s12524-015-0518-5","title":"Study on Ecological Risk Assessment for Land-Use of Wetland Based on Different Scale","year":2016,"lang":"en","type":"article","venue":"Journal of the Indian Society of Remote Sensing","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Anhui University; Anhui Agricultural University; National Natural Science Foundation of China","keywords":"Geography; Scale (ratio); Land use; Wetland; Environmental resource management; Risk assessment; Ecology; Environmental science; Cartography; Computer science","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":[0.0008713553,0.0003208273,0.0002147311,0.001503958,0.000413028,0.0007469121,0.000405638,0.0002632968,0.001328554],"category_scores_gemma":[0.001829965,0.0001161568,0.0008453868,0.001005699,0.0002487579,0.0008255115,0.0004426755,0.0002895165,0.00008705764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007286223,"about_ca_system_score_gemma":0.0004821745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158203,"about_ca_topic_score_gemma":0.01541631,"domain_scores_codex":[0.9995628,0.0001357419,0.00002498952,0.00006263077,0.000135259,0.00007852977],"domain_scores_gemma":[0.998693,0.0006701601,0.0001634628,0.00007791845,0.0002907364,0.0001047148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003626304,0.0003847365,0.9356843,0.00008751971,0.0003816375,0.0009634471,0.0007668282,0.02765756,0.004047857,0.002542273,0.0005457349,0.02657542],"study_design_scores_gemma":[0.00001646385,0.0002989948,0.8683047,0.0000150748,0.0002453594,0.0003174327,0.002248366,0.1242988,0.001417959,0.002118636,0.0006820989,0.00003617244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973163,0.00005026417,0.001369667,0.00004279123,0.000002928905,0.00001518533,0.00009971297,0.000008152593,0.001094938],"genre_scores_gemma":[0.9991094,0.00002846972,0.0005285825,0.000003831416,0.000002362388,0.000004604558,0.00008075092,0.000001905242,0.0002399503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158203,"threshold_uncertainty_score":0.02302927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629337059962657,"score_gpt":0.2724523830749578,"score_spread":0.2461590124753313,"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."}}