{"id":"W2902010150","doi":"10.3138/9781487517373","title":"Policy Learning from Canada: Reforming Scandinavian Immigration and Integration Policies","year":2018,"lang":"en","type":"book","venue":"Project Muse (Johns Hopkins University)","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Policy learning; Immigration policy; Political science; Computer science; Law","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0006304113,0.0002767076,0.0003207324,0.005514769,0.00204407,0.0002762049,0.0006715271,0.0003213908,0.00007081997],"category_scores_gemma":[0.0006974862,0.0002864776,0.00007510804,0.004321465,0.001062055,0.0008217757,0.0002541576,0.0005572838,0.000009396153],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005455316,"about_ca_system_score_gemma":0.01709613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993818,"about_ca_topic_score_gemma":0.9990753,"domain_scores_codex":[0.997105,0.0005011264,0.0002027062,0.0005347921,0.00101763,0.0006387673],"domain_scores_gemma":[0.9986206,0.0002797172,0.0003118499,0.0002012849,0.0003383709,0.0002481455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002705248,0.00009784142,0.004349357,0.000090502,0.0003485517,0.0002254361,0.4266972,0.00000587832,0.00003632659,0.1445919,0.02330707,0.3999794],"study_design_scores_gemma":[0.0001548875,0.0001173789,0.0001990875,0.0001545287,0.0000273889,5.276335e-7,0.01821277,0.00002460621,0.00002434072,0.00008865083,0.9806823,0.0003135187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.007918052,0.000006232177,0.00005561633,0.001107099,0.0002573153,0.0005574541,0.00005815322,0.0001149296,0.9899251],"genre_scores_gemma":[0.3966914,0.4049095,0.0004040547,0.0002948836,0.006412046,0.000009872975,0.0004238444,0.00009968088,0.1907547],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9573752,"threshold_uncertainty_score":0.9999588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990925753144877,"score_gpt":0.2855375531289998,"score_spread":0.2556282955975511,"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."}}