{"id":"W2000117014","doi":"10.1111/imre.12123","title":"Competing for Talent: Diffusion of An Innovation in New Zealand's Immigration Policy","year":2014,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Innovator; Competition (biology); Immigration policy; Government (linguistics); Public policy; Economic growth; Political science; Economic geography; Development economics; Economics; Entrepreneurship","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":[0.009045227,0.0002144763,0.0004395169,0.002201107,0.002459954,0.005865205,0.001003569,0.002234859,0.002257869],"category_scores_gemma":[0.01388062,0.000165442,0.0003810579,0.003525957,0.00493241,0.004159195,0.002504796,0.001317211,0.000154628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01407041,"about_ca_system_score_gemma":0.01434888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09718956,"about_ca_topic_score_gemma":0.08378313,"domain_scores_codex":[0.996516,0.001385176,0.0002220473,0.0003189729,0.001010404,0.0005473284],"domain_scores_gemma":[0.9938211,0.00326468,0.001169563,0.0002038482,0.001076253,0.0004646203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001767194,0.0001984018,0.01436194,0.00392005,0.00009277143,0.001358406,0.0799524,0.001730282,0.001446053,0.386593,0.008469756,0.5017002],"study_design_scores_gemma":[0.000092166,0.0005674989,0.1088918,0.007490118,0.0001197827,0.0007172545,0.05915124,0.002465508,0.001216599,0.06575585,0.7533772,0.0001549168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3945923,0.2082545,0.005338642,0.08841857,0.0008500168,0.0003523374,0.0001277257,0.00003771087,0.3020283],"genre_scores_gemma":[0.8921528,0.09252346,0.002644165,0.002202178,0.0001835127,0.000122489,0.00003790184,0.000009963788,0.01012346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09718956,"threshold_uncertainty_score":0.1932477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912278225903112,"score_gpt":0.3589690917132253,"score_spread":0.3398463094541942,"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."}}