{"id":"W4400964390","doi":"10.1108/ijesm-01-2024-0013","title":"Green human resource management, energy saving behavior and environmental performance: a systematic literature review","year":2024,"lang":"en","type":"article","venue":"International Journal of Energy Sector Management","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Human resource management; Remuneration; Human resources; Originality; Engineering; Resource (disambiguation); Business; Environmental resource management; Management; Sociology; Social 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005267165,0.0003297976,0.0003756125,0.0008173216,0.0001248744,0.0005967467,0.0007167099,0.00006404364,0.0002382916],"category_scores_gemma":[0.000007259025,0.0002834349,0.000202288,0.0003178038,0.00008613605,0.001420488,0.0006846116,0.0001811646,0.00001240397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003960698,"about_ca_system_score_gemma":0.000004454977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003853986,"about_ca_topic_score_gemma":0.000009930895,"domain_scores_codex":[0.9974862,0.00003776319,0.0008393915,0.0003673617,0.001002379,0.0002668937],"domain_scores_gemma":[0.9991544,0.00002911722,0.0004406389,0.0002748711,0.00006578169,0.00003522594],"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":[0.0002762414,0.001740437,0.01936661,0.488862,0.006093625,0.02077816,0.0003284791,0.0005726068,0.001084355,0.3190074,0.02234821,0.1195419],"study_design_scores_gemma":[0.002209028,0.0001341314,0.04546751,0.2145002,0.003586716,0.001357766,0.001120559,0.001444342,0.00007187211,0.002258929,0.7262648,0.001584156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6000531,0.3180685,0.00272264,0.005934097,0.007496753,0.002810667,0.00006214916,0.0005592286,0.06229285],"genre_scores_gemma":[0.9701017,0.02195223,0.000129611,0.002602861,0.001177702,0.0001042796,0.000114836,0.00006633409,0.003750465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7039166,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006607318141977009,"score_gpt":0.2164378147820466,"score_spread":0.2098304966400696,"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."}}