{"id":"W2515006066","doi":"10.1016/j.cosust.2016.07.003","title":"Coproducing inclusive cities? Addressing knowledge gaps and conflicting rationalities between self-provisioned housing and state-led housing programmes","year":2016,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Provisioning; State (computer science); Business; Economic growth; Stock (firearms); Inclusive development; Sustainable development; Affordable housing; Political science; Engineering; Economics; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001058761,0.0003236432,0.0005393046,0.0002478386,0.0005050693,0.0001558269,0.0001243826,0.000114367,0.00002861636],"category_scores_gemma":[0.0001235044,0.0003194728,0.00006594692,0.0001626476,0.0005314728,0.000710568,0.000427518,0.0002244695,0.000005622669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265909,"about_ca_system_score_gemma":0.0000747729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001798995,"about_ca_topic_score_gemma":0.00001243391,"domain_scores_codex":[0.9974293,0.0001190471,0.0008817411,0.000906477,0.0000952308,0.0005682102],"domain_scores_gemma":[0.9988386,0.0002613533,0.0004373897,0.0002953659,0.0000305853,0.0001367151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003419981,0.0002068163,0.8664705,0.0007350422,0.00002504945,0.000001145664,0.01139221,0.00001367984,0.0000360376,0.002704676,0.00002193071,0.1183588],"study_design_scores_gemma":[0.004058297,0.000206307,0.8530563,0.0009917917,0.00002054742,0.000007265659,0.005239399,0.0007261341,0.0004127705,0.02418311,0.1097913,0.001306761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857301,0.0109672,0.001127612,0.0003692451,0.000592078,0.0007975254,0.0001451042,0.00007832795,0.0001928047],"genre_scores_gemma":[0.9968301,0.002277179,0.000429267,0.00001325424,0.0002654857,0.0000605545,0.00003705224,0.00004040223,0.00004669934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117052,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485456691459383,"score_gpt":0.2989629019381733,"score_spread":0.2641083350235794,"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."}}