{"id":"W3125108562","doi":"","title":"Ciudades, territorios y crecimiento inclusivo en Latinoamérica: Los casos de Chile, Colombia y México","year":2012,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Latin American Urban Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","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":[0.000568106,0.0004409195,0.0004605831,0.001999718,0.003134164,0.003262848,0.0007587228,0.0006616274,0.01146497],"category_scores_gemma":[0.001575732,0.00022192,0.0002579582,0.004741794,0.002242862,0.001453474,0.002274779,0.000936178,0.000433385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004258362,"about_ca_system_score_gemma":0.003758955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3589865,"about_ca_topic_score_gemma":0.433097,"domain_scores_codex":[0.9996669,0.00007174638,0.00001244172,0.00005525351,0.0000439115,0.0001497961],"domain_scores_gemma":[0.9995329,0.000108916,0.0001595244,0.0000352871,0.00007646877,0.000086827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007661231,0.0004545345,0.496131,0.001981641,0.0001943337,0.01047708,0.1295398,0.001139522,0.001490152,0.09954806,0.04123661,0.2170411],"study_design_scores_gemma":[0.00009470474,0.0000859351,0.514788,0.001353387,0.000209868,0.001843399,0.1336448,0.0006606578,0.0003716394,0.002994224,0.3438994,0.00005404488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423671,0.01558543,0.0003930675,0.005060947,0.0001466238,0.00006472092,0.001127355,0.00008015721,0.1351747],"genre_scores_gemma":[0.9744699,0.009658459,0.0003819698,0.0001148548,0.00007191644,0.00005220678,0.0005678881,0.00002971316,0.01465304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3589865,"threshold_uncertainty_score":0.7137939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001522227729809,"score_gpt":0.3539884061129537,"score_spread":0.3239731838356557,"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."}}