{"id":"W4382814883","doi":"10.1111/1748-8583.12525","title":"Mick Marchington and his contributions to human resource management","year":2023,"lang":"en","type":"article","venue":"Human Resource Management Journal","topic":"Organizational Downsizing and Restructuring","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Griffith University","keywords":"Human resource management; Thread (computing); Human resources; Knowledge management; Value (mathematics); Management; Sociology; Field (mathematics); Business; Computer science; Engineering; Mechanical engineering; Economics; Mathematics","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":[0.001033442,0.000368336,0.0003102154,0.001727193,0.002697747,0.001372935,0.0006318103,0.0000791577,0.0003192128],"category_scores_gemma":[0.00003686492,0.0003549443,0.0001296602,0.001214008,0.00009746509,0.000332361,0.00132982,0.000424461,0.0005669142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495214,"about_ca_system_score_gemma":0.000005011397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003122181,"about_ca_topic_score_gemma":0.00001340543,"domain_scores_codex":[0.9972287,0.00005010192,0.0005999021,0.0005635188,0.0007687011,0.0007891171],"domain_scores_gemma":[0.9990312,0.00003297141,0.0002873678,0.0004173909,0.000116258,0.000114789],"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":[0.00008290632,0.0001730218,0.00995186,0.0009828499,0.0007018654,0.001156568,0.0005107918,0.003285846,0.001255165,0.5703733,0.3970541,0.01447169],"study_design_scores_gemma":[0.001476957,0.00003121887,0.1095125,0.0003534485,0.0002424852,0.00004125608,0.002331015,0.0001558433,0.00002340818,0.01952779,0.8657246,0.0005794917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.703382,0.0001252194,0.00053236,0.008043933,0.0003882208,0.001002953,0.00001294445,0.0008853664,0.285627],"genre_scores_gemma":[0.9678393,0.00004328354,0.0004219986,0.003060284,0.002745483,0.00003198276,0.0001666769,0.0001344262,0.02555659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5508455,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119144960958759,"score_gpt":0.2507837564909127,"score_spread":0.2388692603950368,"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."}}