{"id":"W1541890902","doi":"","title":"The home country’s role in shaping Chinese immigrant entrepreneurship","year":2010,"lang":"en","type":"dissertation","venue":"Tuwhera (Auckland University of Technology)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Entrepreneurship; Demographic economics; Political science; Development economics; Economic growth; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004498761,0.0001729648,0.0003103006,0.0003551497,0.0007595436,0.00003461485,0.0008441964,0.000810865,0.0002421131],"category_scores_gemma":[0.0001153741,0.0001604611,0.00009900166,0.0005256432,0.0003809045,0.0001575811,0.00004190337,0.0006653105,0.00001979277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009184192,"about_ca_system_score_gemma":0.0002304068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02220423,"about_ca_topic_score_gemma":0.7201695,"domain_scores_codex":[0.998913,0.00006008343,0.0002017936,0.0003039858,0.0001959428,0.0003251633],"domain_scores_gemma":[0.9991382,0.00009431074,0.0002830083,0.0003182143,0.0001147947,0.00005146129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004771033,0.0002589718,0.7835975,0.0001384218,0.0001903594,0.00004547957,0.1431763,0.00001071862,0.001405259,0.03651832,0.00171222,0.03246934],"study_design_scores_gemma":[0.001505867,0.00008721696,0.4523754,0.0002254375,0.0001079881,0.000002532814,0.1971041,0.00007155409,0.0002349609,0.03461275,0.3128468,0.0008254012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813005,0.001128651,0.000002761554,0.0009320913,0.0003881958,0.0002526679,0.00001621548,0.0001070484,0.01587182],"genre_scores_gemma":[0.981876,0.002947486,0.00005956709,0.00001216991,0.00007905863,0.000001610155,0.00008714534,0.00001170547,0.01492528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6979653,"threshold_uncertainty_score":0.984307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006538048610929627,"score_gpt":0.2292121832814306,"score_spread":0.222674134670501,"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."}}