{"id":"W2605930244","doi":"10.1017/s0008423915000785","title":"“Bringing Cities Back In” To Canadian Political Science: Municipal Public Policy and Immigration","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Immigration; Pessimism; Politics; Immigration policy; Political science; Public policy; Public administration; State (computer science); Federalism; Political economy; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.005742927,0.0001203985,0.0001824794,0.002766471,0.001072882,0.001007905,0.0007407118,0.00008558891,0.00009890679],"category_scores_gemma":[0.01491981,0.0001119233,0.00003611287,0.002691802,0.003697695,0.001899075,0.00002880098,0.0002411554,0.00002710838],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00899638,"about_ca_system_score_gemma":0.08629501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755901,"about_ca_topic_score_gemma":0.9954709,"domain_scores_codex":[0.995311,0.000119878,0.0004089192,0.0002503537,0.0009078773,0.003002003],"domain_scores_gemma":[0.9831984,0.00007870549,0.00006615335,0.000148524,0.001241475,0.01526671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001238983,0.000004043114,0.01464266,0.000001474656,8.414072e-7,0.000008695205,0.01185395,0.00000419593,0.00006178156,0.9726308,0.0003120337,0.0004783099],"study_design_scores_gemma":[0.00075491,0.0006010805,0.6237978,0.0002383382,0.00001898317,0.0002221867,0.146786,0.002278903,0.0007734664,0.1067165,0.116884,0.0009278348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151758,0.00005166031,0.00006835275,0.03827254,0.0004384885,0.0001288441,0.00001134933,0.000005230382,0.04584774],"genre_scores_gemma":[0.9962811,0.000003431647,0.0003434328,0.002399937,0.000618865,0.000001771445,7.485218e-7,0.000005914799,0.0003447566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8659143,"threshold_uncertainty_score":0.9990137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454574724400078,"score_gpt":0.3359678256438897,"score_spread":0.2914220783998889,"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."}}