{"id":"W957625301","doi":"","title":"Examining Urban Poverty In Canadian Society","year":2008,"lang":"en","type":"article","venue":"Docs.school Publications","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poverty; Urban poverty; Political science; Economic growth; Sociology; Economics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005336871,0.0001196339,0.0001561631,0.000227928,0.001793739,0.0001276943,0.0003429978,0.0001269163,0.00115876],"category_scores_gemma":[0.001273577,0.0001260468,0.00007605572,0.001358047,0.0002455499,0.0006841806,0.00003285792,0.0002277711,0.0002329826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996682,"about_ca_system_score_gemma":0.001958025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4685148,"about_ca_topic_score_gemma":0.6950777,"domain_scores_codex":[0.998358,0.0001111191,0.0002709921,0.0003020492,0.0003442178,0.0006136079],"domain_scores_gemma":[0.9985986,0.0002120469,0.00007821537,0.0002963398,0.0002363365,0.0005784445],"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":[4.928555e-7,0.00002644555,0.5775603,0.000001103247,0.00001444316,8.124751e-7,0.01143281,0.000003001338,0.000003603566,0.02069182,0.3900612,0.0002039151],"study_design_scores_gemma":[0.0001500809,0.000005145446,0.3798189,0.000003321132,0.000004217443,9.260716e-7,0.004151984,0.00005954361,0.000001947411,0.0002760133,0.6154031,0.0001248298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07791778,0.0005876771,0.0002018821,0.03324112,0.000380307,0.000556012,0.00007176695,0.0003185409,0.8867249],"genre_scores_gemma":[0.9727615,0.000427641,0.0006465359,0.002651063,0.000350111,0.0001263776,0.0000393538,0.00001326185,0.02298412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8948438,"threshold_uncertainty_score":0.9997543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07329041699236169,"score_gpt":0.2981434685346986,"score_spread":0.224853051542337,"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."}}