{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002634264,0.0002019206,0.000202454,0.00006028497,0.00008274931,0.000009539704,0.000211886,0.0001213965,0.01791321],"category_scores_gemma":[0.00007975318,0.0002033083,0.00009459342,0.0001674559,0.0002977524,0.0002917909,0.00009192638,0.0001950869,0.0009609784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451418,"about_ca_system_score_gemma":0.00001813797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003748265,"about_ca_topic_score_gemma":0.000662865,"domain_scores_codex":[0.9969826,0.0005316417,0.0004380185,0.000448358,0.001291705,0.0003076364],"domain_scores_gemma":[0.9991786,0.00008667014,0.0001473421,0.0004855765,0.000002082842,0.00009965431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001431898,0.002943398,0.616145,0.00002271873,0.00001642867,0.000001775505,0.001692291,0.1583918,0.05044509,0.0000793535,0.0006268162,0.1694922],"study_design_scores_gemma":[0.00122301,0.0001749811,0.9055973,0.00001813426,0.00003457239,7.456474e-7,0.00009442255,0.06926383,0.02110932,0.000405752,0.001849713,0.0002281746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784451,0.00004134354,0.0001089526,0.0006011529,0.00006814115,0.0004770168,0.00006796463,0.0000202338,0.02017011],"genre_scores_gemma":[0.9987885,0.00001388546,0.0005736382,0.0003989035,0.00003979864,0.00003482575,0.00005074812,0.00001602551,0.00008361869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2894524,"threshold_uncertainty_score":0.9998169,"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."}}