{"id":"W7009992253","doi":"","title":"The Geographic and Demographic Challenges To the Regional Institutionalization Of the Texas Lower Rio Grande Valley [Los desafíos geográficos y democráticos de la institucionalización regional del Valle Bajo del Río Grande de Texas]","year":2009,"lang":"es","type":"article","venue":"ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institutionalisation; Regional development; Population; Context (archaeology); Regional planning","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":[0.001379184,0.00007211612,0.00008230151,0.0004977007,0.003172194,0.00289513,0.000721667,0.0003104906,0.002361419],"category_scores_gemma":[0.002632235,0.000101482,0.0000883372,0.0009808948,0.004434967,0.0009382305,0.001941809,0.0006834418,0.00008056137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005248256,"about_ca_system_score_gemma":0.006944904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1798719,"about_ca_topic_score_gemma":0.4437103,"domain_scores_codex":[0.9990733,0.0004037315,0.00001687828,0.0001159932,0.00009317715,0.0002969469],"domain_scores_gemma":[0.9985037,0.0003376184,0.0004551226,0.0001191868,0.0002171232,0.0003672377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008563532,0.00009834725,0.4791066,0.0001383228,0.00004169597,0.001360964,0.1537107,0.002617154,0.0022414,0.2929596,0.007292596,0.06034696],"study_design_scores_gemma":[0.00001073269,0.00005570445,0.6249561,0.000183711,0.00001683963,0.0003907692,0.250423,0.0006103272,0.0003278169,0.008988499,0.1140008,0.0000356705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626935,0.0006099543,0.0006121586,0.007016974,0.00001623662,0.00001515875,0.0001161341,0.000005458925,0.02891449],"genre_scores_gemma":[0.9977934,0.0002539851,0.0002520682,0.0001181749,0.000008993552,0.0000132512,0.00004039265,0.000001940775,0.001517678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1798719,"threshold_uncertainty_score":0.3576497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655493354117035,"score_gpt":0.2041332099353344,"score_spread":0.1875782763941641,"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."}}