{"id":"W2152002503","doi":"10.1111/j.1468-2427.2007.00734_4.x","title":"Space, Power and Participation: Ethnic and Gender Divisions in Tenants' Participation in Public Housing – By Tijen Uguris","year":2007,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnic group; Citation; Public space; Sociology; Power (physics); Space (punctuation); Political science; Library science; Law; Anthropology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002418153,0.00006842936,0.0001116483,0.0001439278,0.00008815021,0.00009425578,0.0001191896,0.00006828842,0.00003317302],"category_scores_gemma":[0.0003578067,0.00003041414,0.00002260489,0.0002962884,0.0001801243,0.000301553,0.00009364531,0.0002607081,6.881417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000887055,"about_ca_system_score_gemma":0.0000344767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036403,"about_ca_topic_score_gemma":0.0004489138,"domain_scores_codex":[0.9985062,0.0001424622,0.0003225533,0.0001483122,0.0006139771,0.0002664646],"domain_scores_gemma":[0.9987871,0.0005685189,0.00007590873,0.00001964998,0.0003933171,0.0001554938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001901607,0.0002094207,0.9411035,0.000006405356,0.00002016983,0.00006412221,0.001096463,0.00000105814,0.005903276,0.001974475,0.002046595,0.04738439],"study_design_scores_gemma":[0.0003166669,0.00009773098,0.9884154,0.0000349709,0.000001244681,0.00001230822,0.0007696379,0.0000489553,0.00007190654,0.004031014,0.006138055,0.00006206156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866469,0.001105995,0.000005982181,0.01181024,0.00004965543,0.00008362535,0.000002646357,0.000002378895,0.0002925813],"genre_scores_gemma":[0.9989949,0.0006436902,0.00003433903,0.00008757364,0.00007368473,0.000002411085,0.000007043471,8.57304e-7,0.000155468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04732233,"threshold_uncertainty_score":0.1240253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542376664559586,"score_gpt":0.4077069425458347,"score_spread":0.2534692760898761,"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."}}