{"id":"W140583716","doi":"10.4000/cybergeo.16443","title":"Segregation Analyzer: a C#.Net application for calculating residential segregation indices","year":2011,"lang":"en","type":"article","venue":"Cybergeo","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Spectrum analyzer; Geographic information system; Computer science; Download; Software; Limit (mathematics); Process (computing); Index (typography); Database; Operating system; Remote sensing; World Wide Web; Geography; Telecommunications; Mathematics","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":[0.0007923809,0.0001504346,0.0001988889,0.0001601682,0.001197588,0.00007787343,0.0002041839,0.0001568966,0.0001739422],"category_scores_gemma":[0.0004305308,0.0001523785,0.0001139163,0.0005234094,0.0001788557,0.0005288564,0.00003394429,0.00008868772,0.00006282161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053371,"about_ca_system_score_gemma":0.0001158446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008276022,"about_ca_topic_score_gemma":0.01171918,"domain_scores_codex":[0.998367,0.0001440229,0.0003788054,0.0003571227,0.0004045658,0.0003485431],"domain_scores_gemma":[0.9988094,0.0002051189,0.0003336002,0.0002025607,0.0003434695,0.0001058733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001761214,0.0002469932,0.1790431,0.00008414958,0.0003148901,0.00000255435,0.1505514,0.00008470406,0.001078756,0.5311456,0.01198278,0.1252889],"study_design_scores_gemma":[0.004096302,0.000376529,0.4203341,0.0001857664,0.0008144325,0.000003925983,0.04297666,0.01395843,0.006978286,0.2438911,0.2640685,0.002315864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8019785,0.000931035,0.06645962,0.001718272,0.001500479,0.003246952,0.000072546,0.0008055812,0.1232871],"genre_scores_gemma":[0.9940895,0.00005879312,0.002541961,0.0001088007,0.0004254524,0.0002462884,0.00009812546,0.00001941227,0.002411704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872545,"threshold_uncertainty_score":0.998328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869900887857601,"score_gpt":0.3173399358161751,"score_spread":0.2586409269375991,"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."}}