{"id":"W2790937933","doi":"","title":"“City of Immigrants,” Buenos Aires, Argentina","year":2018,"lang":"en","type":"article","venue":"Murray State's Digital Commons (Murray State University)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Political science; Geography; Ethnology; History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004380223,0.0003077908,0.0004549257,0.0006102699,0.001198833,0.0003209284,0.0008893316,0.000127003,0.0006132137],"category_scores_gemma":[0.0001357454,0.0003630314,0.0002563807,0.001279614,0.00176396,0.001680048,0.0002141848,0.0002464058,0.0002544216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855643,"about_ca_system_score_gemma":0.000434462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02516903,"about_ca_topic_score_gemma":0.1509275,"domain_scores_codex":[0.9975222,0.0002111655,0.0004658028,0.0005387805,0.0004566464,0.000805452],"domain_scores_gemma":[0.9979906,0.0002032857,0.000365031,0.0005130962,0.0005278399,0.0004001295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001517976,0.003237087,0.5860995,0.0002570281,0.001197807,0.0002908002,0.229267,0.0001541808,0.0009544689,0.04270419,0.06648964,0.06783032],"study_design_scores_gemma":[0.001135317,0.0003773247,0.02110548,0.00006313669,0.00006051426,0.000002347725,0.01458814,0.00003759478,0.001547333,0.004272074,0.9560234,0.0007873572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7922198,0.00004556415,0.001527621,0.0003012927,0.0003448486,0.0003695049,0.0006342247,0.0001748258,0.2043823],"genre_scores_gemma":[0.9696891,0.0001971664,0.0001147358,0.00005782352,0.0001094075,0.000001221415,0.00006854784,0.00002630439,0.02973574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8895338,"threshold_uncertainty_score":0.9998822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184884843155105,"score_gpt":0.2382315298843526,"score_spread":0.2163826814528015,"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."}}