{"id":"W2979634053","doi":"10.1111/tran.12352","title":"Trickle‐down debt: Infrastructure, development, and financialisation, Medellín 1960–2013","year":2019,"lang":"en","type":"article","venue":"Transactions of the Institute of British Geographers","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Debt; Internal debt; External debt; Debt levels and flows; Economics; Recourse debt; Equity value; Debt-to-GDP ratio; Payment; Debt service coverage ratio; Business; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966802,0.0001391101,0.0003945394,0.0002194386,0.000152307,0.00003024309,0.0002890751,0.0001278126,0.0001613014],"category_scores_gemma":[0.000005861362,0.0001705885,0.0001811855,0.0006128807,0.0003211773,0.0003976803,0.00001554097,0.0001475331,0.00001505951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002817912,"about_ca_system_score_gemma":0.00007304983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006248023,"about_ca_topic_score_gemma":0.001701354,"domain_scores_codex":[0.9987525,0.00001057417,0.0006646541,0.0002873479,0.00007504662,0.000209839],"domain_scores_gemma":[0.9991769,0.00001589532,0.0003886322,0.0003061693,0.00006130464,0.00005107487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002639232,0.001138467,0.3418217,0.001729056,0.001699569,0.00001938087,0.01153385,0.04510755,0.0007655966,0.09425443,0.01084332,0.4908232],"study_design_scores_gemma":[0.002562393,0.00008885786,0.4472205,0.0003003972,0.0000593957,0.00007792704,0.0001673346,0.0003577468,0.001337992,0.00648353,0.5406595,0.0006843911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977953,0.001610079,0.007574376,0.0000960092,0.001197593,0.0003140693,0.0001944802,0.00002518227,0.0110352],"genre_scores_gemma":[0.9931754,0.001029904,0.004680614,0.00008244176,0.00001936313,0.00001297723,0.000007692014,0.00001803432,0.0009735993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5298162,"threshold_uncertainty_score":0.9445183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059707999168288,"score_gpt":0.1848002960224684,"score_spread":0.1742032160307855,"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."}}