{"id":"W2155107079","doi":"10.5539/ass.v7n3p232","title":"Brief Analysis on Human Resources Management in Modern Private Enterprises","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Human resources; Human resource management; China; Sustainable development; Function (biology); Knowledge management; Mechanism (biology); Management; Economics; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181064,0.0001940364,0.0002282518,0.001398271,0.0007106358,0.0003934987,0.0009435987,0.00003992347,0.000347109],"category_scores_gemma":[0.0000119397,0.0001875567,0.0001419689,0.002937584,0.0003676854,0.0007236793,0.0005149939,0.0001180495,0.0001500982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008558798,"about_ca_system_score_gemma":0.000004553523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003078573,"about_ca_topic_score_gemma":0.0002007102,"domain_scores_codex":[0.9978419,0.00001398913,0.0002923292,0.0005972211,0.0007027032,0.0005518901],"domain_scores_gemma":[0.9994245,0.00000465376,0.0001840247,0.000325055,0.00003689965,0.00002488443],"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":[0.000070183,0.0007631411,0.1155384,0.0001043035,0.0003154082,0.000187889,0.007486538,0.00002331257,0.0001337686,0.7091868,0.0008556165,0.1653346],"study_design_scores_gemma":[0.0003870448,0.00001531738,0.9631046,0.00002493881,0.0001855889,8.331459e-8,0.00195485,0.0001836695,0.00001992515,0.01088187,0.02293248,0.0003096367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4042933,0.000004120115,0.0000976755,0.0001328162,0.0000436,0.0001751431,4.534164e-7,0.00006960393,0.5951833],"genre_scores_gemma":[0.9977058,0.000002178679,0.00006438671,0.001123389,0.0002288953,0.00002647858,0.000004433282,0.0000145102,0.0008299702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8475661,"threshold_uncertainty_score":0.7648341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321634621214681,"score_gpt":0.2655708508893255,"score_spread":0.2334073887678574,"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."}}