{"id":"W2519349721","doi":"","title":"DEVELOPMENT OF GIS/LIS FOR CADASTRAL SURVEY AND LAND REGISTRATION IN CHINA: A STATUS REPORT","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cadastre; Geography; China; Land registration; Cartography; Geographic information system; Remote sensing; Surveyor; Forestry; Archaeology; Land tenure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008428222,0.00138693,0.0004792709,0.00678466,0.0006403622,0.00157974,0.001455145,0.000488653,0.002977914],"category_scores_gemma":[0.003597104,0.0006292903,0.0006022523,0.006920836,0.0007999684,0.002234151,0.001191623,0.0003861547,0.0009443329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003105276,"about_ca_system_score_gemma":0.01447163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09304027,"about_ca_topic_score_gemma":0.04413094,"domain_scores_codex":[0.998159,0.0004552852,0.0002238111,0.0002556478,0.0007185654,0.0001877032],"domain_scores_gemma":[0.9941532,0.0006050621,0.000635592,0.0007219644,0.003221572,0.0006626589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003381857,0.0003164364,0.2050062,0.001681583,0.0001574991,0.0003084854,0.001125119,0.01526054,0.01262813,0.006784225,0.01404696,0.7423467],"study_design_scores_gemma":[0.0001362803,0.001355025,0.6225317,0.0005934392,0.0004677332,0.0005511105,0.002755705,0.05942721,0.0405831,0.001595745,0.2697846,0.0002183283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7227561,0.029553,0.1575429,0.003747957,0.0004732558,0.002600017,0.02211922,0.006631882,0.05457556],"genre_scores_gemma":[0.7750862,0.0212499,0.1469545,0.0004056608,0.0002061467,0.0009109533,0.03250515,0.0003482757,0.02233318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09304027,"threshold_uncertainty_score":0.1849974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472864124194397,"score_gpt":0.2397826189628227,"score_spread":0.2250539777208787,"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."}}