{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006779538,0.00003824439,0.00009167403,0.00001637727,0.00008883652,0.00004139245,0.00004377506,0.00002572845,5.576964e-7],"category_scores_gemma":[0.00001955609,0.00003249662,0.00001456902,0.000003453956,0.00004131982,0.00009211594,0.00001292013,0.00004366603,6.786495e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000010916,"about_ca_system_score_gemma":0.00001198653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007210259,"about_ca_topic_score_gemma":0.00005959991,"domain_scores_codex":[0.9997082,7.253246e-7,0.0001531045,0.00002399967,0.00004298707,0.00007096378],"domain_scores_gemma":[0.9997047,0.00003370875,0.00007222476,0.0000672165,0.00006696933,0.00005518755],"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":[0.00003019736,0.0001113532,0.009872092,0.0007943069,0.0004043384,0.000004794144,0.003213915,0.02286211,0.003073213,0.9483538,0.0007373525,0.01054249],"study_design_scores_gemma":[0.004560632,0.0004631693,0.057825,0.0006447786,0.0003081103,0.0002457154,0.0001273237,0.4084728,0.05055067,0.09550693,0.3804553,0.0008395927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728251,0.00004488552,0.02673866,0.000057899,0.0000463932,0.00004220032,0.00001724188,0.000002850738,0.0002247348],"genre_scores_gemma":[0.9370467,0.00002598779,0.06285059,0.00001594226,0.00004202593,0.000001276256,4.25964e-7,0.000005113073,0.00001190719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8528469,"threshold_uncertainty_score":0.1325174,"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."}}