{"id":"W3016990628","doi":"10.1108/mbr-02-2020-0044","title":"Natural disasters and MNC sub-national investments in China","year":2020,"lang":"en","type":"article","venue":"Multinational Business Review","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multinational corporation; Subsidiary; Natural disaster; Business; China; Context (archaeology); Investment (military); Sample (material); Foreign direct investment; Finance; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495038,0.00022488,0.0002934539,0.0001887999,0.0000932176,0.0001492507,0.000215484,0.00004008143,0.0001889885],"category_scores_gemma":[0.0009519898,0.0001997254,0.00005612185,0.001032987,0.00006692434,0.001409224,0.0001907066,0.0001415587,0.0002053761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005536339,"about_ca_system_score_gemma":0.00004404526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009137345,"about_ca_topic_score_gemma":0.00001890485,"domain_scores_codex":[0.9983997,0.00001364648,0.0004265822,0.000362084,0.0006020527,0.0001959783],"domain_scores_gemma":[0.9989983,0.00003611129,0.0002255372,0.00007010391,0.000649008,0.0000209086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000299478,0.0009971425,0.1639934,0.02852649,0.000220577,0.0001510349,0.0002556153,0.001525411,0.001846686,0.6282704,0.05169571,0.122218],"study_design_scores_gemma":[0.001059968,0.000002496255,0.875272,0.001427826,0.00003151206,0.000007554588,0.00000815678,0.01885893,0.000005953073,0.001876537,0.101075,0.0003740672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6061318,0.05851956,0.0009923861,0.2968464,0.002059036,0.003368399,0.0001077964,0.0003841167,0.03159054],"genre_scores_gemma":[0.9585654,0.001677955,0.0002611021,0.0380323,0.0007695237,0.0000742099,0.0005158298,0.00002804108,0.0000755979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7112786,"threshold_uncertainty_score":0.8144564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507824117556073,"score_gpt":0.2545016393516754,"score_spread":0.2294233981761147,"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."}}