{"id":"W2040681702","doi":"10.1002/hrm.20263","title":"Guest Editors' Note: Introduction to the special issue","year":2009,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Citation; Library science; Sociology; Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007832538,0.0004430074,0.0003036104,0.0007012493,0.00107375,0.001007249,0.00113698,0.00007877619,0.002932159],"category_scores_gemma":[0.00002808479,0.0003591548,0.0001877867,0.0008716832,0.0000737258,0.0004008895,0.0006851656,0.0002892454,0.009933287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224551,"about_ca_system_score_gemma":0.00000294711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003951253,"about_ca_topic_score_gemma":0.00005986813,"domain_scores_codex":[0.9968858,0.00003146883,0.0005328764,0.0008462421,0.0009508801,0.0007527529],"domain_scores_gemma":[0.9984319,0.0000138885,0.0002312846,0.001190366,0.00008228064,0.00005031114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004232275,0.0001809806,0.0000477529,0.00006888396,0.00004324405,0.00004303535,0.000178874,0.0009294676,0.00001367327,0.04085732,0.9317929,0.02580159],"study_design_scores_gemma":[0.0005287103,0.00005889366,0.005982682,0.00003802831,0.0001434309,0.000001248291,0.0008155156,0.00008940969,0.000009405291,0.0008165296,0.9910675,0.0004486553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.01403413,0.00003932263,0.0003586115,0.08036032,0.008041806,0.002306752,0.000002160689,0.0006548474,0.8942021],"genre_scores_gemma":[0.1197694,0.000005669499,0.0001305478,0.0235535,0.8002251,0.0001157029,0.0001240771,0.0000776134,0.05599843],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8382036,"threshold_uncertainty_score":0.999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009124651567408187,"score_gpt":0.229685400348471,"score_spread":0.2205607487810628,"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."}}