{"id":"W3152957830","doi":"","title":"Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Quarter (Canadian coin); Immigration policy; Political science; Immigration reform; Politics; Corporate governance; Public relations; Economics; Management; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.002740955,0.0001389082,0.0003706583,0.0001565472,0.0001372966,0.00005156685,0.0005847201,0.0002896307,0.0002580754],"category_scores_gemma":[0.0008138102,0.0001675443,0.00008108752,0.0003848968,0.0007315719,0.0003295265,0.0005936768,0.0003614352,0.000004132265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302832,"about_ca_system_score_gemma":0.00142615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01897356,"about_ca_topic_score_gemma":0.01045474,"domain_scores_codex":[0.9976104,0.001206836,0.0002702825,0.0005328065,0.000162883,0.000216734],"domain_scores_gemma":[0.9975508,0.001101227,0.0003498451,0.0003423685,0.0005504577,0.0001053295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000144819,0.0001308495,0.9430507,0.0003996905,0.0002593751,0.0000143621,0.04440642,0.00284859,0.0001411122,0.006863784,0.0003017132,0.001438526],"study_design_scores_gemma":[0.001281942,0.0003229758,0.8252147,0.002793457,0.0002780948,5.95053e-7,0.1290072,0.004006303,0.002735589,0.03237942,0.0005408436,0.001438902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970655,0.0004693751,0.000535821,0.00007339979,0.0002189831,0.0003847454,0.00001512564,0.00001967275,0.001217346],"genre_scores_gemma":[0.9914991,0.006807098,0.0001765486,0.00001028372,0.00002101386,0.000002331655,0.00001837053,0.000007287182,0.001457927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178361,"threshold_uncertainty_score":0.9875592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2450077050212985,"score_gpt":0.3038371800499102,"score_spread":0.05882947502861177,"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."}}