{"id":"W4406297421","doi":"10.1002/hrm.22282","title":"Building Micro‐Foundations for Positive Workplace Relationships: Validation of a Strategic Relational Human Resource Management Measure","year":2025,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"Young Scientists Fund; Natural Science Foundation for Young Scientists of Shanxi Province; National Natural Science Foundation of China","keywords":"Measure (data warehouse); Human resource management; Knowledge management; Business; Human resources; Process management; Resource (disambiguation); Strategic human resource planning; Environmental resource management; Operations management; Psychology; Management; Computer science; Economics","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"],"consensus_categories":[],"category_scores_codex":[0.0009863799,0.0003278635,0.0002949151,0.001193727,0.001536661,0.0003637986,0.0003741752,0.0001315,0.0003244738],"category_scores_gemma":[0.0000387586,0.0003755919,0.0001788281,0.001273367,0.0001256886,0.0004659947,0.0002854104,0.0002454534,0.00006378547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585207,"about_ca_system_score_gemma":0.0000178416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003485801,"about_ca_topic_score_gemma":0.00003005357,"domain_scores_codex":[0.9975139,0.0000790448,0.0008462588,0.000613715,0.0005922712,0.0003547918],"domain_scores_gemma":[0.9985527,0.0001225839,0.0004953296,0.0004633814,0.000339831,0.00002611188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005947316,0.000187853,0.01285736,0.0004019092,0.000249691,0.000003609888,0.00008678113,0.002470961,0.0006397371,0.9733447,0.00913742,0.0005605356],"study_design_scores_gemma":[0.006444674,0.00006115833,0.5007492,0.001619858,0.00243371,0.000002863127,0.01166948,0.000496912,0.0007685445,0.1345598,0.3398065,0.001387257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2708816,0.0002136271,0.07088926,0.004414177,0.0003790487,0.005581638,0.00005405911,0.0006611324,0.6469254],"genre_scores_gemma":[0.9755481,0.000002275698,0.006763216,0.0007338998,0.0002598205,0.0002512501,0.001112322,0.00006614186,0.01526298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8387849,"threshold_uncertainty_score":0.9998696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05555570118987673,"score_gpt":0.2913192813830636,"score_spread":0.2357635801931868,"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."}}