{"id":"W1570122277","doi":"10.24201/edu.v28i3.1448","title":"Un modelo de simulación computacional integrado a SIG para explorar la dinámica de crecimiento de la Zona Metropolitana de la Ciudad de México (1998-2008) / A Computer Simulation Model Integrated into SIG to Explore the Dynamics of Growth of the Metropoli","year":2013,"lang":"es","type":"article","venue":"Estudios Demográficos y Urbanos","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Metropolitan area; Geography; Humanities; Cartography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004471368,0.0006816364,0.0004865964,0.0005475484,0.0005312597,0.001247436,0.0007741713,0.000935602,0.005520917],"category_scores_gemma":[0.001869067,0.0003952293,0.0008842124,0.0008839415,0.0003913881,0.0006741366,0.0005546779,0.000839912,0.0003601838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494923,"about_ca_system_score_gemma":0.001895519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09326012,"about_ca_topic_score_gemma":0.06103835,"domain_scores_codex":[0.9998237,0.00005534223,0.000009731719,0.00004894323,0.00002671285,0.00003546726],"domain_scores_gemma":[0.9992053,0.0004655544,0.00007412401,0.00006601181,0.0001479044,0.0000411422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008371564,0.0000503147,0.007753729,0.00003735343,0.00003741768,0.0000501776,0.00007517974,0.9845713,0.0004725858,0.002532838,0.0004544978,0.003880864],"study_design_scores_gemma":[0.00001875931,0.00002874249,0.001076413,0.000006297211,0.00002039384,0.000007138493,0.00005441475,0.9964008,0.000359314,0.0005965444,0.001425124,0.000006103268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8185585,0.0004183782,0.1475322,0.000911436,0.0002227463,0.0002056682,0.005931996,0.001771539,0.02444767],"genre_scores_gemma":[0.9628088,0.0002635738,0.02834194,0.00005251931,0.00002154864,0.0001740086,0.001444394,0.00007877777,0.006814329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09326012,"threshold_uncertainty_score":0.1854346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282101920523761,"score_gpt":0.3069921106660971,"score_spread":0.278781918613721,"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."}}