{"id":"W1585841446","doi":"","title":"Maintaining the integrity of the Torrens System in a digital environment: A comparative overview of the safeguards used within the electronic land systems in Canada, New Zealand, United Kingdom and Singapore","year":2005,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land registration; Security system; Kingdom; Law; Process (computing); Political science; Public administration; Computer security; Geography; Land tenure; Computer science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00315121,0.000179052,0.0003222362,0.003191826,0.007631506,0.008525161,0.0009283481,0.0006600831,0.002197292],"category_scores_gemma":[0.005367113,0.0001602681,0.0002360514,0.007708158,0.009716163,0.002818667,0.002022596,0.0008563722,0.000241605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04041405,"about_ca_system_score_gemma":0.04478064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8927308,"about_ca_topic_score_gemma":0.94294,"domain_scores_codex":[0.9935831,0.0008935896,0.0003447068,0.0001914889,0.00390458,0.001082421],"domain_scores_gemma":[0.994144,0.0008668212,0.0007076098,0.0003315788,0.003451176,0.0004988195],"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":[0.0002860345,0.00007137869,0.06423618,0.001418382,0.00009044495,0.003876886,0.1737182,0.003004191,0.004798981,0.3251456,0.01794922,0.4054044],"study_design_scores_gemma":[0.00001399915,0.0002030206,0.1658333,0.0009722704,0.0001193679,0.001502383,0.1375277,0.0009657512,0.004337209,0.006603754,0.6817625,0.0001587133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5148332,0.02901617,0.002589012,0.008546215,0.0001480383,0.0001252805,0.0002650041,0.00006078012,0.4444163],"genre_scores_gemma":[0.9601218,0.0193987,0.001243501,0.0004045099,0.0000212731,0.00001327007,0.0001351542,0.00002480272,0.01863704],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1072692,"threshold_uncertainty_score":0.2932258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824335219315851,"score_gpt":0.2065084973391658,"score_spread":0.1782651451460073,"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."}}