{"id":"W1983527645","doi":"10.1002/hrm.21593","title":"Human Resource Systems and Ethical Climates: A Resource‐Based Perspective","year":2014,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Perspective (graphical); Resource (disambiguation); Value (mathematics); Resource-based view; Human resource management system; Business; Knowledge management; Environmental resource management; Sociology; Environmental ethics; Human resource management; Economics; Marketing; Computer science; Competitive advantage","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0109834,0.0003913065,0.0005536944,0.0008168778,0.001647893,0.00142297,0.001211131,0.0004031684,0.0002499948],"category_scores_gemma":[0.001157982,0.0003272289,0.0001563077,0.0007865958,0.000632795,0.00008818183,0.0006548967,0.0009852079,0.0001808419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320398,"about_ca_system_score_gemma":0.00002520635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623709,"about_ca_topic_score_gemma":0.00006042656,"domain_scores_codex":[0.9933369,0.001258578,0.001026393,0.00138045,0.002362765,0.000634898],"domain_scores_gemma":[0.9954731,0.001563935,0.0005097874,0.001770188,0.000402365,0.0002806403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003307261,0.0001333241,0.001355434,0.0001842424,0.00004753774,0.00001487158,0.00457604,0.002411968,0.00004985536,0.924495,0.06530858,0.001390114],"study_design_scores_gemma":[0.001145871,0.000214625,0.02847667,0.0003693658,0.00009607901,0.000006321702,0.06348449,0.003847611,0.000009984873,0.04999815,0.8517363,0.0006145047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.174531,0.0005112392,0.00490086,0.01580323,0.0002943696,0.001207225,0.00001025716,0.0003745336,0.8023673],"genre_scores_gemma":[0.98405,0.000004848162,0.0003325794,0.003180396,0.0004883616,0.0001089206,0.0000222794,0.00005856856,0.01175401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8744968,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724456006417363,"score_gpt":0.4239083249818354,"score_spread":0.2514627243400991,"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."}}