{"id":"W7000575290","doi":"","title":"The fragmented or cosmopolitan metropolis?: A neighbourhood story of immigration in Montreal (La métropole fragmentée ou cosmopolite? Une histoire de quartiers de l’immigration montréalaise)","year":2016,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Narrative; Neighbourhood (mathematics); Cosmopolitanism; Global city","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":[0.0008919024,0.0004170467,0.0002566303,0.0006664063,0.0271873,0.005340097,0.001620292,0.0017869,0.004860858],"category_scores_gemma":[0.001720903,0.0003089867,0.0002398224,0.001668998,0.01997823,0.002528679,0.00358796,0.002566736,0.0002251846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05201899,"about_ca_system_score_gemma":0.01901521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9567107,"about_ca_topic_score_gemma":0.9843014,"domain_scores_codex":[0.9992155,0.0003420638,0.000008482329,0.00007012371,0.0001001638,0.0002636974],"domain_scores_gemma":[0.9994494,0.0001386272,0.00005195018,0.00002332823,0.00007642243,0.0002602391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005554724,0.00003313582,0.007012059,0.00009418594,0.00001461316,0.002636246,0.8730054,0.0003160003,0.0005523555,0.07742055,0.02941657,0.009443315],"study_design_scores_gemma":[0.00001289914,0.00003080139,0.01905121,0.0002145707,0.00002065084,0.0006282649,0.6244131,0.0001813789,0.0002091872,0.00292528,0.3522463,0.00006632986],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965534,0.01161662,0.001337368,0.05042465,0.0006407176,0.0001023036,0.0005171956,0.00006609284,0.1387417],"genre_scores_gemma":[0.9791051,0.001699888,0.0002933903,0.001444026,0.00006213327,0.00003424672,0.00005348979,0.00003050822,0.01727724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05201899,"threshold_uncertainty_score":0.3774259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008784775691925453,"score_gpt":0.2170283042012008,"score_spread":0.2082435285092753,"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."}}