{"id":"W2981041818","doi":"10.1111/emre.12367","title":"Human Resource Management in India: Performance and Complementarity","year":2019,"lang":"en","type":"article","venue":"European Management Review","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Complementarity (molecular biology); Business; USable; Human resource management; Yield (engineering); Human resources; Context (archaeology); Marketing; Psychological intervention; Scale (ratio); Knowledge management; Industrial organization; Economics; Management; Psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002031824,0.0002192886,0.0003787328,0.0001389886,0.0004064481,0.00001144494,0.0002903498,0.00001647747,0.0009991223],"category_scores_gemma":[0.000003068766,0.0001897479,0.00004593369,0.0002598634,0.00003515602,0.0001023746,0.001182452,0.000306609,0.001802281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008331886,"about_ca_system_score_gemma":0.00000236471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001685098,"about_ca_topic_score_gemma":0.00001307716,"domain_scores_codex":[0.9975092,0.0006957155,0.0006612595,0.0004220163,0.0002491687,0.000462635],"domain_scores_gemma":[0.9992327,0.00002724891,0.0001876469,0.0004759578,0.00001714719,0.00005929522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001117644,0.00009491957,0.667959,0.03712057,0.0001921354,0.00008610063,0.0005285511,6.72627e-7,9.888918e-7,0.03967635,0.1834164,0.07091317],"study_design_scores_gemma":[0.0005534882,0.00002870125,0.4813875,0.004101462,0.00004541453,1.673694e-7,0.0003450208,6.91908e-7,3.383114e-8,0.00002356578,0.5133996,0.0001143683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07511514,0.008169531,0.000002417594,0.001294046,0.0001191452,0.003227566,0.000002512957,0.00008386523,0.9119858],"genre_scores_gemma":[0.6271434,0.2135587,0.0004921001,0.02726369,0.0001854871,0.0003803545,0.000141386,0.0001258898,0.1307089],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7812768,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05483274016590101,"score_gpt":0.3835706575958011,"score_spread":0.3287379174299001,"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."}}