{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005080083,0.0007484818,0.0004393608,0.003149103,0.02414341,0.01633915,0.001674352,0.004333415,0.00447396],"category_scores_gemma":[0.008095537,0.0003197165,0.0004435103,0.006900416,0.01089052,0.004486225,0.004300427,0.004460234,0.0006347343],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1606017,"about_ca_system_score_gemma":0.3111801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9721319,"about_ca_topic_score_gemma":0.9844084,"domain_scores_codex":[0.9941496,0.00134195,0.000151365,0.0002819878,0.002110462,0.001964683],"domain_scores_gemma":[0.9958806,0.001358383,0.0001358122,0.0001708649,0.001641183,0.0008131597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000385548,0.0000338627,0.00158773,0.0003777935,0.00001985551,0.0005765112,0.04792575,0.001400927,0.0002605088,0.6335818,0.2204183,0.09377839],"study_design_scores_gemma":[0.00000912309,0.000010673,0.001739756,0.0008159913,0.00002053545,0.0000889834,0.03059762,0.0003515993,0.0003063284,0.01972962,0.9462863,0.00004337656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0324941,0.04619908,0.00135865,0.1738814,0.002751444,0.00006695287,0.0002290291,0.0001097982,0.7429096],"genre_scores_gemma":[0.6683995,0.06191709,0.005018518,0.04046275,0.0006636002,0.0001310672,0.0005512252,0.0002096652,0.2226466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8393983,"threshold_uncertainty_score":0.9735831,"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."}}