{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511979,0.0001646018,0.0001355095,0.0009229489,0.0004913718,0.001522459,0.0002387781,0.0003834837,0.002733235],"category_scores_gemma":[0.003792094,0.00007503811,0.0003039313,0.0007445099,0.001250729,0.00105579,0.001362972,0.0005832188,0.0001124617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222699,"about_ca_system_score_gemma":0.001518269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646902,"about_ca_topic_score_gemma":0.00397051,"domain_scores_codex":[0.9991109,0.0004099683,0.00003623093,0.00007933717,0.000164821,0.0001988036],"domain_scores_gemma":[0.9925747,0.003661548,0.002271095,0.0002717986,0.0003947981,0.0008259461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001025262,0.001791069,0.7829325,0.0003803288,0.0002352928,0.0004805647,0.006563103,0.005467448,0.00205098,0.04221736,0.0007999065,0.156979],"study_design_scores_gemma":[0.00001764625,0.0003587673,0.9512438,0.0002813787,0.00008607827,0.0002893104,0.01228236,0.004695757,0.001485865,0.02161822,0.007602923,0.00003786045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786392,0.0004986679,0.001705127,0.001018917,0.00001701324,0.00002914959,0.00002500078,0.000006840252,0.01806002],"genre_scores_gemma":[0.9989861,0.0001275102,0.0003763968,0.00005444617,0.000004363616,0.000005361542,0.00000509141,7.099526e-7,0.0004399744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002733235,"threshold_uncertainty_score":0.009143591,"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."}}