{"id":"W2072696309","doi":"10.1177/1059601107313310","title":"Influence of Compensation Strategies in Canadian Technology-Intensive Firms on Organizational and Human Resources Performance","year":2008,"lang":"en","type":"article","venue":"Group & Organization Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Business; Compensation (psychology); Human resources; Industrial organization; Work (physics); Survey data collection; Marketing; Economics; Management; Psychology; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038015,0.0002510982,0.0002513181,0.001726088,0.002782917,0.001607641,0.0004987018,0.0003402277,0.001807245],"category_scores_gemma":[0.004763582,0.0001899645,0.000210226,0.002558165,0.0008596306,0.0002505329,0.000780043,0.0004571065,0.0001242521],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02417818,"about_ca_system_score_gemma":0.02203868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9733303,"about_ca_topic_score_gemma":0.9904193,"domain_scores_codex":[0.9983385,0.0001857301,0.000059391,0.0001188293,0.0007376517,0.0005599198],"domain_scores_gemma":[0.9939516,0.0008097577,0.001937702,0.0001469721,0.001403299,0.00175074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001143146,0.000104998,0.9826601,0.00002052776,0.00003569169,0.00008820308,0.002072543,0.0003164623,0.0007429102,0.0003159017,0.0005291544,0.01299922],"study_design_scores_gemma":[0.00000266436,0.000013633,0.9983963,0.000006185845,0.000003883249,0.00001095308,0.0008611414,0.00007483763,0.00005570415,0.00001572908,0.0005521249,0.00000679902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979128,0.0001731074,0.0000246373,0.0001413208,0.000002246331,0.000008670424,0.0001451428,0.000001590705,0.001590445],"genre_scores_gemma":[0.9988488,0.0001564765,0.0000608258,0.00004026172,0.000002513074,0.000003814341,0.0001881947,0.000001011181,0.0006981438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9758218,"threshold_uncertainty_score":0.1754258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007315702472015898,"score_gpt":0.1791503299755076,"score_spread":0.1718346275034917,"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."}}