{"id":"W3020114073","doi":"10.17454/ardeth04.13","title":"Spatializing Stratification: Bogotá","year":2019,"lang":"en","type":"article","venue":"Ardeth","topic":"Latin American Urban Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Spatialization; Constitution; Citizenship; Stratification (seeds); Sociocultural evolution; Geography; Social stratification; Socioeconomic status; Sociology; Identification (biology); Regional science; Political science; Social science; Anthropology; Law; Population; Demography","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":[0.000435922,0.0002383419,0.0002788996,0.001537784,0.003832571,0.003131654,0.00026028,0.0003146287,0.004421389],"category_scores_gemma":[0.0009869265,0.0001253712,0.0001627111,0.001463736,0.002559275,0.001408526,0.003320866,0.0005360559,0.0001604847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006250819,"about_ca_system_score_gemma":0.002705717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2540447,"about_ca_topic_score_gemma":0.3141106,"domain_scores_codex":[0.9994783,0.0002042497,0.00002069676,0.00006789697,0.00005542662,0.0001734784],"domain_scores_gemma":[0.9998148,0.00003551264,0.00003718539,0.00002402341,0.0000503973,0.00003804565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000235978,0.00006409843,0.07386712,0.0007338132,0.00002718891,0.001366257,0.1912122,0.00108873,0.00245487,0.5142886,0.01204101,0.2026201],"study_design_scores_gemma":[0.00002205994,0.00005809544,0.232485,0.001141857,0.00004405108,0.0007543507,0.1959659,0.0009061425,0.0006163446,0.0364262,0.5315086,0.00007131156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5925797,0.00932987,0.004727318,0.004618202,0.0003065079,0.0001322416,0.0004340055,0.0001211764,0.387751],"genre_scores_gemma":[0.9918929,0.001130895,0.001078811,0.0001469494,0.00002235984,0.00005475793,0.0001011264,0.00001483152,0.00555738],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2540447,"threshold_uncertainty_score":0.505132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012015125331643,"score_gpt":0.3140976454904747,"score_spread":0.2939774942371582,"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."}}