{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251614,0.0000912207,0.0001803709,0.0003094729,0.00008138584,0.00004374848,0.0002002908,0.00006569149,0.0001213029],"category_scores_gemma":[0.001470322,0.00008963067,0.00005653132,0.0007104193,0.00003516586,0.0003830845,0.0000126569,0.0000613856,0.000006198251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173569,"about_ca_system_score_gemma":0.0002448165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536985,"about_ca_topic_score_gemma":0.07267112,"domain_scores_codex":[0.9984991,0.0001853729,0.0006708987,0.0001737576,0.0003492373,0.0001216255],"domain_scores_gemma":[0.9988067,0.0001207355,0.0004235998,0.0001137537,0.0004852914,0.00004996217],"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":[0.00004096687,0.0002063624,0.007171952,0.0002323741,0.00001483296,1.693368e-7,0.01493497,0.0002816139,0.002362073,0.7028875,0.003377714,0.2684895],"study_design_scores_gemma":[0.0008335113,0.00009899036,0.005481397,0.001368997,0.00001720369,0.000001001085,0.00108872,0.03637183,0.0001564785,0.006522223,0.9478322,0.000227421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779525,0.001117722,0.03535156,0.07759513,0.000787191,0.00207222,0.00005932481,0.0001120477,0.004952366],"genre_scores_gemma":[0.9703969,0.01387923,0.005171862,0.003832177,0.001118914,0.00008762723,0.001349188,0.00002155742,0.004142482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9444545,"threshold_uncertainty_score":0.9442502,"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."}}