{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002507651,0.00007352375,0.0000668381,0.00003532138,0.0001919674,0.00007422511,0.0002368475,0.00005156641,0.000007135523],"category_scores_gemma":[0.00001604166,0.00007865005,0.00001432134,0.000405701,0.0001720049,0.0002252499,0.0000246253,0.00008250084,0.00006535133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392035,"about_ca_system_score_gemma":0.0002356907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417023,"about_ca_topic_score_gemma":0.0000369237,"domain_scores_codex":[0.9991826,0.000005376994,0.0001121494,0.0001550157,0.0003171798,0.0002276279],"domain_scores_gemma":[0.9996533,0.000003455571,0.00002087799,0.0001252755,0.00007124431,0.0001257924],"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":[0.00004602756,0.0003387785,0.004135379,0.0001235115,0.00004438095,0.00001750022,0.03603255,0.1496403,0.04130841,0.5636737,0.03211477,0.1725246],"study_design_scores_gemma":[0.0003111205,0.00003730635,0.003694066,0.000009036875,0.00001001506,0.000005988398,0.0007889488,0.9560459,0.001340852,0.0343926,0.002985615,0.0003785189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07304805,0.00001516639,0.2533583,0.000772543,0.0002307216,0.0003007394,0.00004490121,0.0004289583,0.6718006],"genre_scores_gemma":[0.9835119,6.855615e-7,0.01614968,0.00003650567,0.0001462958,0.00004402279,0.00001200599,0.00001060055,0.00008827134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9104639,"threshold_uncertainty_score":0.3207256,"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."}}