{"id":"W1752883989","doi":"10.5539/ass.v11n24p301","title":"Malaysian Land Administration Domain Model Country Profile","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land administration; Administration (probate law); Domain (mathematical analysis); Computer science; Data model (GIS); Process (computing); Land use; Land information system; Conceptual model; Domain model; Object (grammar); Land management; Environmental resource management; Geography; Environmental planning; Database; Civil engineering; Mathematics; Artificial intelligence; Political science; Engineering; Economics","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":[0.0005921927,0.0005484808,0.0002637367,0.001086335,0.0005353392,0.002789487,0.001337645,0.0006709948,0.006248811],"category_scores_gemma":[0.001355379,0.0003220924,0.0007978103,0.001362434,0.00054755,0.003236228,0.001372716,0.0009691017,0.003902829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449638,"about_ca_system_score_gemma":0.004067338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04421299,"about_ca_topic_score_gemma":0.03685549,"domain_scores_codex":[0.9994134,0.0001429051,0.00009104708,0.0001101193,0.0001702149,0.00007237078],"domain_scores_gemma":[0.9992848,0.0001034693,0.00007064128,0.0001442883,0.0003508758,0.00004602585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002132283,0.0002014043,0.02196784,0.0009975145,0.00007874586,0.00125599,0.002606959,0.2453282,0.004886936,0.497144,0.07392316,0.1513961],"study_design_scores_gemma":[0.00002394474,0.00004038219,0.004324274,0.0002461049,0.00003975661,0.0005660497,0.0008175717,0.1819098,0.003852351,0.02793125,0.7801842,0.00006431576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07326508,0.0008926999,0.6240463,0.002949745,0.0002890722,0.001324582,0.03757846,0.007049951,0.2526041],"genre_scores_gemma":[0.4809187,0.002196279,0.3557419,0.0007373101,0.0000539786,0.001422723,0.05406596,0.000820902,0.1040422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04421299,"threshold_uncertainty_score":0.08791131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169397294286215,"score_gpt":0.2608831386109276,"score_spread":0.2439434091823061,"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."}}