{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.007281196,0.0008998227,0.001657306,0.0007659043,0.001626886,0.000591146,0.002580373,0.001288331,0.0006116595],"category_scores_gemma":[0.003775813,0.001006673,0.0004779263,0.0007872973,0.00295223,0.0003946929,0.005844166,0.003814325,0.0001571921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009615701,"about_ca_system_score_gemma":0.002702457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277911,"about_ca_topic_score_gemma":0.008373654,"domain_scores_codex":[0.9885993,0.003219129,0.001538138,0.001901709,0.001311384,0.003430316],"domain_scores_gemma":[0.9918802,0.004265922,0.0008314797,0.001658649,0.0003546999,0.001009053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002710512,0.001416391,0.6133195,0.0004845499,0.0008787151,0.00007149599,0.06960832,0.001008211,0.0003613337,0.003563181,0.004084104,0.3049331],"study_design_scores_gemma":[0.001596094,0.0003311149,0.3714736,0.000762259,0.0001115863,0.00002285499,0.0314554,0.001116534,0.0001357456,0.001347682,0.5895706,0.002076532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3843881,0.0006236111,0.000002846414,0.001942776,0.002665974,0.00286602,0.0003370678,0.000158199,0.6070154],"genre_scores_gemma":[0.9491091,0.0324462,0.001195899,0.0002207108,0.004993258,0.0008198408,0.00005565404,0.0001832634,0.01097603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5960394,"threshold_uncertainty_score":0.9997612,"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."}}