{"id":"W603637690","doi":"","title":"Human Resource Management Configurations for Low-wage Workers: Does Industry Matter?","year":2009,"lang":"en","type":"article","venue":"ASAC","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Human resource management; Labour economics; Wage; Resource (disambiguation); Industrial organization; Economics; Computer science; Knowledge management","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":[0.003073249,0.0002274813,0.0003047789,0.000933031,0.002720948,0.004659259,0.001456715,0.001287493,0.0207051],"category_scores_gemma":[0.01122504,0.0002133116,0.0003177923,0.0007811561,0.001516634,0.002640608,0.002354067,0.00113141,0.001065877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002554223,"about_ca_system_score_gemma":0.002874332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006271836,"about_ca_topic_score_gemma":0.01908363,"domain_scores_codex":[0.9975114,0.0009743476,0.00009117842,0.0001446189,0.0002345266,0.001043927],"domain_scores_gemma":[0.9908573,0.002502091,0.001689747,0.0004705458,0.0009113364,0.003569064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002446136,0.002243129,0.7979147,0.0002610539,0.0001695318,0.0007599437,0.008663445,0.003268722,0.002915997,0.05543629,0.006995538,0.1189257],"study_design_scores_gemma":[0.0002521902,0.001266948,0.8661373,0.0002430775,0.00009757224,0.0002764118,0.05920527,0.004135841,0.0009619122,0.05970427,0.007659727,0.0000594463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735934,0.0002851957,0.0005467736,0.005248541,0.00003225878,0.00003605515,0.0001801558,0.00001634228,0.0200613],"genre_scores_gemma":[0.9990737,0.00004746927,0.0001226149,0.0001321171,0.000009677523,0.000009028799,0.00003449635,0.00000345768,0.0005674115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207051,"threshold_uncertainty_score":0.06926548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420241233709355,"score_gpt":0.4082762347566457,"score_spread":0.3640738224195522,"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."}}