{"id":"W4415011584","doi":"10.4018/979-8-3693-6279-2.ch002","title":"Critical Human Resource Management Practices Analysis Based on Future Scenario Building","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Respondent; Resilience (materials science); Resource (disambiguation); Human resource management; Resource management (computing); Investment (military); Stratified sampling; Human resources","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":[0.01106128,0.0008543481,0.0002874194,0.01126167,0.00222179,0.005683759,0.001914152,0.0007627637,0.01018352],"category_scores_gemma":[0.02426794,0.000354679,0.0007659201,0.006223312,0.001678662,0.005117928,0.003023542,0.001003627,0.001040092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0047667,"about_ca_system_score_gemma":0.004525296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048624,"about_ca_topic_score_gemma":0.006422012,"domain_scores_codex":[0.9909337,0.005347133,0.000483598,0.0008345646,0.002017917,0.0003831644],"domain_scores_gemma":[0.975616,0.01709958,0.001700559,0.001855934,0.003136835,0.0005910861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001677389,0.0004399077,0.04532464,0.001719717,0.0001306652,0.001908086,0.1740028,0.0117044,0.004267,0.1695612,0.02021286,0.5705611],"study_design_scores_gemma":[0.0000546826,0.0005581292,0.05745341,0.004282381,0.0001712043,0.002466387,0.3987753,0.08255261,0.01041119,0.1464383,0.2965502,0.0002862338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4599521,0.0012896,0.283142,0.004657832,0.0001900286,0.005970906,0.005570037,0.001042236,0.2381853],"genre_scores_gemma":[0.6979296,0.0008270182,0.2846791,0.0001944542,0.0000290036,0.002730484,0.002807886,0.0001622973,0.01064022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126167,"threshold_uncertainty_score":0.05849832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685817243861713,"score_gpt":0.2913275819902925,"score_spread":0.2744694095516754,"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."}}