{"id":"W2591761335","doi":"10.5539/jpl.v10n2p230","title":"A Platform for Development and Optimum Use of Land Capacity","year":2017,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cadastre; Real estate; Business; Land administration; Land registration; Property rights; Quality (philosophy); Government (linguistics); Real estate development; Sustainable development; Investment (military); Real property; Environmental economics; Land tenure; Environmental planning; Finance; Economics; Geography; Politics; Law","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":[0.002154897,0.0008135576,0.0005547043,0.002684438,0.001129959,0.00566473,0.002493015,0.001156403,0.05128982],"category_scores_gemma":[0.006468973,0.0004848107,0.0007194956,0.00258677,0.001302442,0.008589075,0.008182769,0.00126709,0.02143951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205683,"about_ca_system_score_gemma":0.003374416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224619,"about_ca_topic_score_gemma":0.003119249,"domain_scores_codex":[0.9985014,0.0003244057,0.00008083364,0.0002518999,0.0006243651,0.0002171486],"domain_scores_gemma":[0.9976471,0.0003888806,0.0001370482,0.0008056252,0.0006708122,0.0003505788],"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":[0.0001821055,0.0001729616,0.003445709,0.0004703879,0.00005006685,0.0004736992,0.001198964,0.0382628,0.006422534,0.3013672,0.1458328,0.5021208],"study_design_scores_gemma":[0.00004252101,0.0001229657,0.001672894,0.0003664431,0.00002736413,0.0002253069,0.001224632,0.05876645,0.004139384,0.09663312,0.8366744,0.0001045394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02545492,0.001943125,0.5425807,0.005568109,0.0009816694,0.001018946,0.006878986,0.03307315,0.3825004],"genre_scores_gemma":[0.3946169,0.003600118,0.4801621,0.0008058439,0.0003856501,0.001616696,0.01152089,0.006080648,0.101211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05128982,"threshold_uncertainty_score":0.1715815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111391195426691,"score_gpt":0.2665133743849245,"score_spread":0.2053994624306575,"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."}}