{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009066563,0.0004515753,0.000356182,0.002905045,0.003815052,0.01271023,0.001210522,0.003480934,0.003820295],"category_scores_gemma":[0.01030212,0.0002886896,0.0003894969,0.001888214,0.03754897,0.00812094,0.005429603,0.003699125,0.0002988407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006931995,"about_ca_system_score_gemma":0.005760151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324677,"about_ca_topic_score_gemma":0.002488432,"domain_scores_codex":[0.984849,0.01141146,0.000311942,0.0005685113,0.001601761,0.001257408],"domain_scores_gemma":[0.983246,0.01111731,0.002272106,0.0006864967,0.001034875,0.001643274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001132496,0.00006381804,0.00282978,0.000119379,0.00001394036,0.000173791,0.008570302,0.0009123666,0.0001508316,0.9749056,0.001180246,0.01106869],"study_design_scores_gemma":[0.00001728452,0.00007769482,0.00605092,0.0007246701,0.00001590406,0.0003438249,0.0278532,0.002271271,0.0003908537,0.8994779,0.06272399,0.00005242681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1659828,0.02519828,0.06362602,0.1283922,0.0006753844,0.0001823042,0.00009987975,0.00005904703,0.6157841],"genre_scores_gemma":[0.9869336,0.003791216,0.003925986,0.002595537,0.000181785,0.00004651538,0.00001369223,0.0000101434,0.002501475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01271023,"threshold_uncertainty_score":0.05029535,"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."}}