{"id":"W4401450846","doi":"10.25071/1916-0925.40387","title":"Review: Norman Ravvin, Who Gets In: An Immigration Story","year":2024,"lang":"en","type":"article","venue":"Canadian Jewish Studies / Études juives canadiennes","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007482138,0.001635237,0.005087219,0.005466396,0.002149888,0.006089721,0.003479771,0.006095069,0.01234448],"category_scores_gemma":[0.03007754,0.0008700134,0.001734841,0.009211594,0.002658798,0.006886174,0.00309594,0.008803212,0.007058369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008164106,"about_ca_system_score_gemma":0.01947269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04822407,"about_ca_topic_score_gemma":0.09038051,"domain_scores_codex":[0.9959809,0.0009035914,0.0006353674,0.0005918298,0.001596978,0.0002914175],"domain_scores_gemma":[0.9834855,0.006235533,0.001443436,0.0003091489,0.007139338,0.001386999],"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":[0.0000231433,0.000002057994,0.00004230584,0.004762704,0.00004074812,0.00004428484,0.00008030704,0.00001929731,0.00001524365,0.0003196925,0.9771705,0.01747989],"study_design_scores_gemma":[0.00003422115,0.00001006201,0.0004618837,0.01321693,0.0001042121,0.0002047125,0.0002413005,0.0000140311,0.00002035196,0.0005613068,0.9851035,0.00002749049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003822038,0.8249789,0.00005781093,0.146238,0.02738382,0.00003679856,0.0002836886,0.00002288905,0.0009599047],"genre_scores_gemma":[0.001033913,0.8231599,0.0001458851,0.1438171,0.02609256,0.00009965801,0.0003890726,0.0000359131,0.005226016],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9517759,"threshold_uncertainty_score":0.09588671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165380398300826,"score_gpt":0.2866986982620839,"score_spread":0.2650448942790756,"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."}}