{"id":"W2606277840","doi":"10.1007/s12061-017-9223-9","title":"A Statistical Approach for Analyzing Residential Isolation and its Determinants for Immigrant Communities: an Application to the Montréal Metropolitan Region","year":2017,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; International Institute for Applied Systems Analysis","keywords":"Immigration; Socioeconomic status; Isolation (microbiology); Metropolitan area; Social isolation; Geography; Human geography; Demographic economics; Socioeconomics; Sociology; Economic geography; Demography; Psychology; Population; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006250979,0.0001345074,0.0003217503,0.0002106931,0.004225918,0.0003681754,0.0002423385,0.00007594234,0.000001885207],"category_scores_gemma":[0.0001658534,0.0001032569,0.00008218538,0.0002231327,0.0002057696,0.0001520129,0.00006729295,0.00005700875,5.98989e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218548,"about_ca_system_score_gemma":0.00004375894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2718017,"about_ca_topic_score_gemma":0.3144637,"domain_scores_codex":[0.9989168,0.000100495,0.0002655263,0.0002590143,0.0001842948,0.000273859],"domain_scores_gemma":[0.9988577,0.0003051016,0.0002328476,0.0003155273,0.00015064,0.0001381392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006741775,0.0001517534,0.05515316,0.0000888001,0.00109258,3.359515e-7,0.09685303,0.0002191049,0.0002210664,0.7163073,0.0005573,0.1286814],"study_design_scores_gemma":[0.002504531,0.0004884282,0.3340225,0.00001915174,0.004363615,0.000001392527,0.08331989,0.5414361,0.0001990145,0.02039053,0.01219812,0.001056727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078238,0.000123148,0.8881737,0.002049001,0.00002113653,0.001103679,0.0001335266,0.00002167113,0.0005503846],"genre_scores_gemma":[0.9965872,0.0001836575,0.001873716,0.0001436246,0.0006078376,0.0004095094,0.00007509957,0.00001036401,0.0001089651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8887635,"threshold_uncertainty_score":0.9970704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03671846144301572,"score_gpt":0.3445487883792087,"score_spread":0.307830326936193,"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."}}