{"id":"W3121551001","doi":"","title":"On the Migration Decision of IT-Graduates: A Two-Level Nested Logit Model","year":2003,"lang":"en","type":"preprint","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nested logit; Political science; Humanities; Art; Economics","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":[0.005357556,0.001186234,0.002532886,0.001606309,0.0009372258,0.003679486,0.002984788,0.003031676,0.01404867],"category_scores_gemma":[0.009186647,0.00102438,0.002028726,0.002178128,0.001239117,0.002655842,0.001984832,0.00278748,0.001665516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199507,"about_ca_system_score_gemma":0.001685747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078507,"about_ca_topic_score_gemma":0.01446623,"domain_scores_codex":[0.9958966,0.002756782,0.0001126993,0.0004240436,0.0002208128,0.0005890778],"domain_scores_gemma":[0.9907548,0.007548396,0.0007012587,0.0001911388,0.0004234964,0.0003809148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008243748,0.0009410306,0.03477431,0.0004128619,0.0004163622,0.001492636,0.001210108,0.7908843,0.0008224313,0.1449711,0.003066367,0.02018419],"study_design_scores_gemma":[0.00009831044,0.0001638866,0.002246818,0.00003836017,0.00007671028,0.00009542598,0.0002706317,0.9692597,0.00007623347,0.02672441,0.0009060442,0.00004345288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239287,0.001347111,0.3485972,0.004739203,0.0002629544,0.0005946626,0.003058956,0.000307032,0.01716426],"genre_scores_gemma":[0.9615568,0.0008384315,0.01833665,0.0001829001,0.00008598565,0.0003825153,0.0007846567,0.00003126341,0.01780084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02078507,"threshold_uncertainty_score":0.04699749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1882466170614255,"score_gpt":0.4269154466005669,"score_spread":0.2386688295391413,"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."}}