{"id":"W7006807626","doi":"","title":"The wet dream of capital and its class, a study of private sector water provision, uneven development and nature in Buenos Aires","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Private sector; Capital (architecture); Water sector; Dream; Investment (military); Private capital","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004147188,0.0002002829,0.0001456828,0.0008965104,0.005856706,0.003202496,0.0006488619,0.0007108051,0.008317399],"category_scores_gemma":[0.0008709851,0.0001695499,0.0000607516,0.002677614,0.001694027,0.001435233,0.000746407,0.0008203518,0.0002809455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009445588,"about_ca_system_score_gemma":0.008907443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7285454,"about_ca_topic_score_gemma":0.9408257,"domain_scores_codex":[0.9998171,0.00005324429,0.000005316095,0.00001496272,0.00003131515,0.00007808906],"domain_scores_gemma":[0.9996896,0.0001032265,0.00002395877,0.00001231491,0.00004599033,0.0001249027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003110208,0.0004929092,0.0777297,0.0003676881,0.00001407972,0.001173566,0.3399293,0.0005289722,0.0009770166,0.1799485,0.2619354,0.1365917],"study_design_scores_gemma":[0.00002377408,0.00004362022,0.2206614,0.0002386917,0.00001376728,0.0001291333,0.3514628,0.0001609312,0.0002906641,0.003551571,0.4234035,0.00002016379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6429271,0.01319254,0.0002975987,0.03504191,0.0003051806,0.0001303279,0.002322887,0.0000245858,0.3057579],"genre_scores_gemma":[0.8154743,0.004749502,0.00030443,0.0009814892,0.00004688214,0.000119286,0.0002963874,0.00003042448,0.1779973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7285454,"threshold_uncertainty_score":0.5461066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002602402388581392,"score_gpt":0.148647895122024,"score_spread":0.1460454927334426,"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."}}