{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003204957,0.0001556064,0.0001408097,0.0001081809,0.0001577335,0.00003822938,0.0001747845,0.0001986432,0.0001247967],"category_scores_gemma":[0.00003516881,0.0001506748,0.00003637015,0.0001480682,0.0001335401,0.00005672618,0.0001406323,0.0001746469,0.00003471426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911915,"about_ca_system_score_gemma":0.00006887135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819234,"about_ca_topic_score_gemma":0.0007090704,"domain_scores_codex":[0.9993871,0.0000084087,0.000117778,0.0002061534,0.0001283109,0.0001522348],"domain_scores_gemma":[0.9996471,0.00005372032,0.00004940523,0.0001695499,0.00003974849,0.00004051437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005850022,0.00005366907,0.001284461,0.0004041102,0.0003043152,0.00009673578,0.0002183944,0.01003619,0.0001806561,0.3921953,0.5488185,0.04634915],"study_design_scores_gemma":[0.0001911946,0.00002149944,0.0005435793,0.00003832037,0.00003159835,0.00001742108,0.00005705921,0.02384122,0.00002104769,0.0007700723,0.9742756,0.0001913465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000381393,0.0004978201,0.01718725,0.0007923055,0.001473393,0.0006169441,0.0002349818,0.0005341728,0.9782817],"genre_scores_gemma":[0.08018761,0.003707046,0.06692033,0.0001866271,0.003422581,0.0003500449,0.003196957,0.0005989061,0.8414299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4254571,"threshold_uncertainty_score":0.6144338,"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."}}