{"id":"W4384787223","doi":"10.32324/2412-8945-2023-2-62-71","title":"MODELING OF SOCIO-DEMOGRAPHIC DEVELOPMENT IN THE SETTLEMENT SYSTEM OF CROSS-BORDER REGIONS OF THE U.S.A.","year":2023,"lang":"en","type":"article","venue":"Territory Development","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Settlement (finance); Economic geography; Human settlement; Population; Regional science; Latin Americans; Demography; Political science; Sociology; Economics; Archaeology","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":[0.0005161818,0.0003456131,0.0002769925,0.0005601112,0.0005787431,0.001194436,0.0007610291,0.0006761653,0.002416269],"category_scores_gemma":[0.001566362,0.0003257556,0.0007610513,0.0008820452,0.0004326189,0.0006935211,0.0008033748,0.0006243607,0.0002480865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648166,"about_ca_system_score_gemma":0.001384875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1072439,"about_ca_topic_score_gemma":0.07126567,"domain_scores_codex":[0.9997537,0.0001146517,0.000008286267,0.0000630462,0.00001736364,0.00004290002],"domain_scores_gemma":[0.9996246,0.0001782713,0.00007499503,0.00001914307,0.00006078631,0.00004218395],"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":[0.00002164493,0.00004932628,0.02195865,0.00001425613,0.00003511675,0.00009806092,0.0001544413,0.9688615,0.0002444308,0.005146096,0.0003399176,0.003076622],"study_design_scores_gemma":[0.000003075684,0.00001515304,0.004496608,0.000003603212,0.00000825413,0.0000153144,0.0001244132,0.9936753,0.00003607361,0.001161077,0.0004568855,0.000004253744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270941,0.0002234824,0.06157907,0.0007867825,0.00003986507,0.00006518095,0.001175788,0.000169156,0.008866427],"genre_scores_gemma":[0.9873147,0.000152626,0.008509707,0.0000322606,0.00001000183,0.00008147742,0.0004287983,0.00001725557,0.003453072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072439,"threshold_uncertainty_score":0.2132394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240254806644357,"score_gpt":0.3509423124454689,"score_spread":0.3085397643790254,"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."}}