{"id":"W6990534460","doi":"","title":"The 3D marine alienation title for marine cadastre in Kedah and Perlis / Nur Liyana Mat Rosdi","year":2020,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Subpoena; Government (linguistics); Documentation; Work (physics); Population","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":[0.001523882,0.0002401061,0.0001203647,0.002128341,0.001446023,0.001725845,0.0006010769,0.0004573011,0.008558375],"category_scores_gemma":[0.002807313,0.0002160425,0.0002100971,0.002784899,0.0007595873,0.001526659,0.001453261,0.0004675468,0.001563569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350326,"about_ca_system_score_gemma":0.002667934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254318,"about_ca_topic_score_gemma":0.03532508,"domain_scores_codex":[0.9992971,0.0002577045,0.000101088,0.00006885755,0.0002153165,0.00005982653],"domain_scores_gemma":[0.9987883,0.0002729578,0.000232905,0.0002380428,0.0003395625,0.0001282579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003056317,0.0002728149,0.1432856,0.002014283,0.00003493063,0.01646399,0.1031076,0.004651777,0.01531476,0.02530118,0.04683596,0.6424114],"study_design_scores_gemma":[0.00002507761,0.0003935065,0.2203132,0.001915578,0.00004380296,0.008997732,0.1368333,0.004397628,0.00990269,0.002140137,0.6149178,0.0001196394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8196719,0.001361805,0.01931649,0.002000219,0.0002163088,0.0006383646,0.004023158,0.0005079505,0.1522638],"genre_scores_gemma":[0.8629128,0.002021489,0.0533485,0.0002633602,0.00003190141,0.0004007197,0.004574962,0.0001816126,0.07626458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254318,"threshold_uncertainty_score":0.02863055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007501110725730728,"score_gpt":0.1958845871382043,"score_spread":0.1883834764124736,"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."}}