{"id":"W4392280222","doi":"","title":"An international perspective on urban segregation and daily mobility : case studies in Niamey, Puebla, Lyon and Montreal","year":2009,"lang":"en","type":"preprint","venue":"Americanae (AECID Library)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Geography; Regional science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007246993,0.0004537063,0.0003513024,0.002718437,0.005119089,0.00427059,0.001418016,0.0007041855,0.007758271],"category_scores_gemma":[0.001797882,0.0002199401,0.0004360001,0.009657005,0.003523331,0.001512519,0.003080309,0.0005595757,0.0002961527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03733671,"about_ca_system_score_gemma":0.009788307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9447109,"about_ca_topic_score_gemma":0.9657469,"domain_scores_codex":[0.9987117,0.0005956966,0.00002416651,0.00007927584,0.00009571944,0.0004934185],"domain_scores_gemma":[0.9993696,0.0002269972,0.00008896241,0.00004039635,0.0001393713,0.0001347153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003564045,0.0004830456,0.3847228,0.0008865516,0.0002908181,0.01590813,0.2224054,0.01545515,0.001345241,0.2422213,0.01955409,0.09637106],"study_design_scores_gemma":[0.00005384229,0.000202621,0.391179,0.0005792678,0.0001711477,0.001325654,0.4104451,0.00358428,0.0004836895,0.004475208,0.1873673,0.0001330075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778346,0.00640248,0.0020924,0.00343886,0.00004586568,0.0001515169,0.001204741,0.00004520502,0.1087844],"genre_scores_gemma":[0.987036,0.00192522,0.0007329829,0.0001115894,0.00001262098,0.00006158467,0.0003185711,0.00001321772,0.009788215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05528915,"threshold_uncertainty_score":0.270898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278037999562041,"score_gpt":0.3277957946755267,"score_spread":0.2950154146799063,"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."}}