{"id":"W4286623125","doi":"10.5465/ambpp.2022.16068abstract","title":"The Impact of State Visits and Prior Investments on the Investment Location of Chinese Firms","year":2022,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Conceptualization; Attractiveness; Investment (military); Business; State (computer science); Government (linguistics); Finance; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006182524,0.0001436145,0.0002678879,0.0008349562,0.0005752795,0.001365401,0.0004140693,0.0003716594,0.003747163],"category_scores_gemma":[0.003617469,0.0001086762,0.0003639508,0.001259775,0.000802631,0.0007669273,0.001075604,0.0005468182,0.0001907992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254189,"about_ca_system_score_gemma":0.00131214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09720502,"about_ca_topic_score_gemma":0.1463628,"domain_scores_codex":[0.9995425,0.00008185193,0.00002665851,0.00006499073,0.00007618547,0.000207936],"domain_scores_gemma":[0.9942345,0.001393004,0.002496685,0.0002581052,0.0004475461,0.001170205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129601,0.00006675137,0.9892217,0.00001373371,0.00005667969,0.0002874586,0.0004104781,0.002658062,0.0002669421,0.001245196,0.000314694,0.005345241],"study_design_scores_gemma":[0.000005597359,0.00005886069,0.9942083,0.000009725114,0.00005022177,0.00003816931,0.0009644015,0.003672906,0.0002212063,0.0001983421,0.000562107,0.00001017608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984447,0.00007385894,0.00005058626,0.0001079574,0.000002158325,0.000002292598,0.00009086001,0.000002234439,0.001225344],"genre_scores_gemma":[0.9995509,0.00003998788,0.000009463045,0.000005759548,0.000002120823,0.000001187327,0.00005855268,4.605633e-7,0.0003314737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09720502,"threshold_uncertainty_score":0.1932784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621792658933356,"score_gpt":0.2502364029089206,"score_spread":0.2240184763195871,"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."}}