{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003159084,0.000248809,0.0005244364,0.004953591,0.001592398,0.005208889,0.0008644884,0.0003921105,0.003048113],"category_scores_gemma":[0.005681961,0.0001874037,0.0004435211,0.01259794,0.002575114,0.001247683,0.00470504,0.0007957117,0.0004501828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005444302,"about_ca_system_score_gemma":0.007511964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03280879,"about_ca_topic_score_gemma":0.04232694,"domain_scores_codex":[0.9959413,0.001280389,0.000222948,0.000306361,0.001287568,0.0009613934],"domain_scores_gemma":[0.9917829,0.004123592,0.001556645,0.0004318152,0.001343139,0.0007620247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000324503,0.0005437516,0.3098885,0.003532283,0.0005809676,0.001009749,0.0200985,0.003791211,0.0009417848,0.06290255,0.009771109,0.5866151],"study_design_scores_gemma":[0.00002396793,0.000400693,0.9167255,0.001677499,0.0003283455,0.0009280132,0.03131465,0.0009744689,0.0006454649,0.00705107,0.03984937,0.00008097298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452462,0.04056444,0.001583327,0.009900325,0.0001708049,0.0001031474,0.0006314542,0.0001024089,0.2016978],"genre_scores_gemma":[0.9921876,0.005410401,0.0003746416,0.0002928511,0.00004503511,0.0000218629,0.00007861239,0.000007668268,0.001581253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280879,"threshold_uncertainty_score":0.06523561,"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."}}