{"id":"W7099009736","doi":"","title":"Ethnicconnectedness and economic inequality: A persisting relationship.” Canadian Studies in Population 29","year":2002,"lang":"en","type":"article","venue":"","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optimal distinctiveness theory; Ethnic group; Census; Immigration; Inequality; Population; Assimilation (phonology)","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":[0.002279005,0.0002087778,0.0003657671,0.00210648,0.006698325,0.002137944,0.001036675,0.0005459688,0.00413655],"category_scores_gemma":[0.005156513,0.0002270183,0.0004953527,0.004415967,0.003074287,0.0013658,0.002068126,0.001416491,0.0001521724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01923626,"about_ca_system_score_gemma":0.02959973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865687,"about_ca_topic_score_gemma":0.9936825,"domain_scores_codex":[0.9986344,0.0001943033,0.00005064337,0.0001944052,0.0004091133,0.0005171365],"domain_scores_gemma":[0.9965001,0.0004806108,0.0004059979,0.0002553773,0.001453117,0.0009047801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008050718,0.00007650071,0.9307345,0.00004463558,0.0001198241,0.0001504804,0.0218844,0.0001132571,0.0001689204,0.01374194,0.004225184,0.02865983],"study_design_scores_gemma":[0.000004926844,0.00001073962,0.9821988,0.00004703521,0.00003082518,0.00005035811,0.0100715,0.000142069,0.00006016171,0.0006688425,0.006700415,0.00001440378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660075,0.004245674,0.00022653,0.01082898,0.00006958679,0.00002278724,0.0008970635,0.000008981858,0.01769294],"genre_scores_gemma":[0.9965138,0.001001855,0.0001833894,0.0003941757,0.0000139277,0.000006248461,0.000221601,0.000004574394,0.001660532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01923626,"threshold_uncertainty_score":0.1395694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.202994533899228,"score_gpt":0.2757055802677451,"score_spread":0.07271104636851705,"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."}}