{"id":"W3214846571","doi":"10.18280/ijsdp.160613","title":"Green Human Resource Management and Environmental Innovativeness","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Scope (computer science); Green innovation; Structural equation modeling; Knowledge management; Human resource management; Situated; Resource (disambiguation); Organizational culture; Resource-based view; Industrial organization; Marketing; Competitive advantage; Management; Economics; Computer 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":[0.0004473456,0.0001568019,0.0001730881,0.0003937247,0.0002276729,0.0002838629,0.000207181,0.00004560715,0.0000721018],"category_scores_gemma":[0.00003435638,0.0001566833,0.00002743303,0.0001888808,0.00008400249,0.0009709863,0.0006186978,0.0001477873,0.000002541404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974734,"about_ca_system_score_gemma":0.00002789777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157544,"about_ca_topic_score_gemma":0.000001056481,"domain_scores_codex":[0.9987078,0.000012739,0.0004158291,0.0001926394,0.0004444969,0.0002264723],"domain_scores_gemma":[0.9993711,0.00002946636,0.0003007937,0.00007042993,0.0002069973,0.00002126224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003058982,0.0003968113,0.865748,0.000905835,0.0007259701,0.02439109,0.003899603,0.0004020222,0.0007738543,0.05056618,0.001380761,0.0505039],"study_design_scores_gemma":[0.001291856,0.00001000304,0.5381213,0.0001886323,0.00004111154,0.0001948782,0.08066036,0.0000346838,0.0004290188,0.003427418,0.3752905,0.0003101931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953059,0.0004683211,0.0003251355,0.0006210443,0.0001274101,0.00009298502,7.746602e-7,0.0000111903,0.003047226],"genre_scores_gemma":[0.9956826,0.00001649071,0.0009294643,0.0006671236,0.0003614783,0.000004862978,0.00005490808,0.00001615573,0.002266944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3739097,"threshold_uncertainty_score":0.638936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148004090025746,"score_gpt":0.2244114135589077,"score_spread":0.2129313726586502,"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."}}