{"id":"W7098450767","doi":"","title":"Article","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Affect (linguistics); White (mutation); Feeling; Diversity (politics); Population; Census; Cultural diversity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001308388,0.0005752764,0.0005405002,0.001428748,0.00310086,0.007877579,0.001443544,0.003750416,0.5771387],"category_scores_gemma":[0.006164275,0.0002854706,0.0006305258,0.001805836,0.001358593,0.00565986,0.004149113,0.002815792,0.3134394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736159,"about_ca_system_score_gemma":0.004526863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108482,"about_ca_topic_score_gemma":0.006604985,"domain_scores_codex":[0.9984586,0.0002854806,0.00007574856,0.0003743561,0.0005694155,0.0002364031],"domain_scores_gemma":[0.9977701,0.0002892881,0.000143943,0.0003332398,0.0008127659,0.0006507189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003659281,0.0000595237,0.001025119,0.0001848035,0.00001016829,0.0001475979,0.0004028805,0.00005351733,0.0001490742,0.05114811,0.8553972,0.09138543],"study_design_scores_gemma":[0.000003740518,0.000006260294,0.0003769535,0.00008407954,0.00000187403,0.00007212516,0.0002030886,0.00001382615,0.00003255866,0.002539094,0.9966637,0.000002658258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001676956,0.004867511,0.001088221,0.03065484,0.0116309,0.0001350525,0.00223901,0.0003570915,0.9473504],"genre_scores_gemma":[0.01582095,0.00480247,0.0009522825,0.01692905,0.00312539,0.0001308536,0.002509283,0.0002722197,0.9554574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4228613,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04402231357089446,"score_gpt":0.1840673292454463,"score_spread":0.1400450156745518,"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."}}