{"id":"W1641193771","doi":"10.1111/1745-5871.12004","title":"Exploring the Personal Histories of the Top Executives of<scp>US</scp>Firms Using a Quantitative Approach: Is There a Geographical Relationship with Corporate Headquarters, and Does It Influence Firm Performance?","year":2013,"lang":"en","type":"article","venue":"Geographical Research","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Context (archaeology); Marketing; Business; Competitive advantage; Selection (genetic algorithm); Organizational culture; Economic geography; Management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009340317,0.00008549793,0.0001138359,0.001348688,0.0005507462,0.001196589,0.0001470157,0.0001780486,0.002566934],"category_scores_gemma":[0.004306968,0.00009057055,0.00008533284,0.001136668,0.0004527696,0.0006151141,0.0005677528,0.0002213469,0.0002520721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993438,"about_ca_system_score_gemma":0.0002936283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00743652,"about_ca_topic_score_gemma":0.02177994,"domain_scores_codex":[0.9995727,0.0001990813,0.00003385897,0.00003882465,0.00007432437,0.00008116243],"domain_scores_gemma":[0.993425,0.002365878,0.002432847,0.0002026762,0.0006309949,0.0009426341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003270844,0.00003222706,0.9803756,0.00001831016,0.00003099509,0.0001089116,0.009773695,0.0001455833,0.0004179117,0.0001841949,0.0002163692,0.008663454],"study_design_scores_gemma":[0.000001159333,0.00004245873,0.9732527,0.00001312322,0.000007272934,0.00007594792,0.02523368,0.0001727618,0.0001568595,0.0001001948,0.0009375003,0.000006368697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990425,0.00002686059,0.00004008209,0.00003759049,7.818743e-7,0.000001566287,0.00004893074,5.909524e-7,0.0008011103],"genre_scores_gemma":[0.9996125,0.00002751496,0.00002911297,0.000008866955,0.000001847478,0.000001517683,0.00003441579,4.040228e-7,0.0002838439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00743652,"threshold_uncertainty_score":0.01478648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1891718131545141,"score_gpt":0.339698323154504,"score_spread":0.15052650999999,"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."}}