{"id":"W1517509919","doi":"","title":"Mapping New England : largest immigrant groups in southern New England counties","year":2007,"lang":"en","type":"article","venue":"Communities and Banking","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; New england; Geography; Demographic economics; Political science; Regional science; Economic geography; Archaeology; Economics; Politics","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":[0.0005530274,0.0001706697,0.0002863336,0.001487594,0.001132397,0.00100326,0.0005407025,0.0002674739,0.002597257],"category_scores_gemma":[0.001884792,0.000232269,0.0001853779,0.002032989,0.0003427782,0.0005797032,0.001467378,0.0002672379,0.0003915947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598774,"about_ca_system_score_gemma":0.001970412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5387435,"about_ca_topic_score_gemma":0.8813484,"domain_scores_codex":[0.9996427,0.00007955788,0.00004062431,0.0001032549,0.00007539267,0.00005839951],"domain_scores_gemma":[0.9984143,0.0002949687,0.0002813945,0.0001131302,0.0005955535,0.0003006436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002078132,0.00009512249,0.9378908,0.0001902128,0.00006361913,0.0009435111,0.02334692,0.0004287466,0.00532405,0.000665605,0.004847201,0.02599627],"study_design_scores_gemma":[0.00001002957,0.00002308595,0.9753499,0.00004902089,0.00002512703,0.0001615493,0.0172389,0.0002917043,0.0002718739,0.00005883354,0.006508775,0.00001128027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939119,0.0002402468,0.0003122611,0.0001011532,0.000005428481,0.00005163973,0.001750958,0.000009844906,0.003616558],"genre_scores_gemma":[0.9876128,0.0003868109,0.002372246,0.00007181206,0.00000687911,0.0002583769,0.002297868,0.00001438271,0.006978913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5387435,"threshold_uncertainty_score":0.9279459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039939169669739,"score_gpt":0.2676040712579345,"score_spread":0.2276649015881955,"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."}}