{"id":"W4413633951","doi":"10.18280/ijsdp.200736","title":"Summarizing Artificial Intelligence (AI) Role in Green Human Resource Management (GHRM) Effectiveness","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resource management; Engineering; Business; Computer science; Knowledge management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01313892,0.0008675953,0.002348715,0.01495418,0.0005132256,0.004758139,0.001029465,0.001182948,0.003483385],"category_scores_gemma":[0.04839913,0.0004096309,0.002747043,0.01484241,0.0007021697,0.003213322,0.001013873,0.0007865391,0.0003790397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003139142,"about_ca_system_score_gemma":0.008469881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260099,"about_ca_topic_score_gemma":0.005835909,"domain_scores_codex":[0.9924164,0.002683064,0.002788547,0.0004684113,0.001442643,0.0002009939],"domain_scores_gemma":[0.9456917,0.04343855,0.00522866,0.0003349088,0.004873814,0.0004323931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000333679,0.00004529069,0.002244985,0.6976785,0.004441375,0.0002007306,0.001349003,0.0003476771,0.0009098084,0.004260134,0.008236787,0.2799521],"study_design_scores_gemma":[0.0001902838,0.0008024209,0.01822911,0.7189286,0.04459564,0.0009882452,0.003936006,0.0003482017,0.001933585,0.004485808,0.2054771,0.0000850211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001786002,0.9948682,0.0002810979,0.0009839865,0.000283501,0.00008161581,0.0002443067,0.000008327203,0.001463003],"genre_scores_gemma":[0.02598065,0.97115,0.001054607,0.0007987717,0.0002788603,0.0001982041,0.0002759018,0.000007009183,0.0002560133],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01495418,"threshold_uncertainty_score":0.06948608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05848026595786701,"score_gpt":0.3758216383942005,"score_spread":0.3173413724363335,"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."}}