{"id":"W130350733","doi":"","title":"Human Resource Issues in Global Entrepreneurial High Technology Firms: Do They Differ?","year":2008,"lang":"en","type":"article","venue":"The Journal of Applied Management and Entrepreneurship","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resources; Set (abstract data type); Business; Human resource management; Public relations; Information technology; Marketing; Knowledge management; Management; Political science; Economics; Computer science","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":[0.0008087228,0.0002897417,0.0003775935,0.0006570199,0.0003145581,0.0001478561,0.0006969781,0.00008784755,0.00008099437],"category_scores_gemma":[0.00002079332,0.0002112104,0.00007258178,0.0008747269,0.0001744416,0.0002330375,0.0006143246,0.0002797768,0.00006444235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006103069,"about_ca_system_score_gemma":0.000006402815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003550576,"about_ca_topic_score_gemma":0.00004179367,"domain_scores_codex":[0.9981376,0.00003074031,0.0006893053,0.000292916,0.0004447139,0.0004047105],"domain_scores_gemma":[0.998901,0.0000299004,0.0005339226,0.0004254143,0.00008918079,0.00002059208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005006505,0.0003028892,0.04556601,0.0001451932,0.0001508368,0.0001518623,0.0004394052,0.0001936691,0.0001418499,0.9322982,0.01065101,0.009458371],"study_design_scores_gemma":[0.01054773,0.0001548915,0.1479393,0.0003155048,0.00066517,0.00009296962,0.009915157,0.00008298792,0.0004063942,0.6470184,0.1816971,0.001164437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7970245,0.0002822994,0.00002003028,0.002978273,0.0003045149,0.000421477,8.232545e-7,0.00007971314,0.1988884],"genre_scores_gemma":[0.9972144,0.0002032934,0.00007946462,0.0008659747,0.0008223971,0.00001265135,0.0000054155,0.00002230912,0.0007741056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2852798,"threshold_uncertainty_score":0.861291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136758922815871,"score_gpt":0.2225075961921403,"score_spread":0.2088317039105532,"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."}}