{"id":"W30286718","doi":"10.1186/s12877-018-0917-x","title":"Evaluation of Eco-Environmental Stability Based on GIS in Tibet, China","year":2005,"lang":"en","type":"article","venue":"武汉大学学报：自然科学英文版","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alzheimer Society","keywords":"Analytic hierarchy process; Geographic information system; Raster graphics; Environmental resource management; China; Geography; Raster data; Work (physics); Computer science; Environmental protection; Environmental science; Cartography; Operations research; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002639213,0.0004818116,0.000339256,0.002234003,0.0006937988,0.0009662174,0.0005232158,0.0002483328,0.001163861],"category_scores_gemma":[0.005761227,0.0001834183,0.0003275859,0.004297345,0.0005944193,0.001037769,0.0008862831,0.0001756893,0.0001110606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0030627,"about_ca_system_score_gemma":0.003665756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.202796,"about_ca_topic_score_gemma":0.3190757,"domain_scores_codex":[0.9987986,0.0005634072,0.0001082687,0.00009029107,0.0003167326,0.0001226959],"domain_scores_gemma":[0.997687,0.0007855482,0.0002747835,0.0001065863,0.0009182233,0.0002279672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006988617,0.0005781106,0.9095872,0.0002945854,0.0001297873,0.0007353465,0.007593954,0.006916085,0.002512016,0.0006549136,0.0004513302,0.06984781],"study_design_scores_gemma":[0.0000499292,0.001293047,0.9637939,0.00005276316,0.00007778809,0.00008474561,0.01488528,0.01740035,0.001079402,0.0002670442,0.0009808136,0.00003487006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998363,0.00003033453,0.0002825962,0.00003130461,0.000001878839,0.00007245595,0.0001895333,0.00001132923,0.001017531],"genre_scores_gemma":[0.9981917,0.00005084706,0.001182486,0.000006294701,0.000001199546,0.00004670566,0.0002536718,0.000002331515,0.0002648689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.202796,"threshold_uncertainty_score":0.4032311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579522049832171,"score_gpt":0.2639596322458591,"score_spread":0.2381644117475374,"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."}}