{"id":"W4243791654","doi":"10.1002/ban.30114","title":"Exec takes the fall when employees go behind her back","year":2015,"lang":"en","type":"article","venue":"Board & Administrator for Administrators Only","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Management; Computer science; Library science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001718388,0.0005599207,0.000647802,0.0001119205,0.001314576,0.0007909714,0.001397323,0.000452479,0.0004640906],"category_scores_gemma":[0.0005276599,0.0004109139,0.0006697375,0.0004129578,0.001424524,0.0006001984,0.00007017107,0.0003796783,0.0004641025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228449,"about_ca_system_score_gemma":0.005378759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050069,"about_ca_topic_score_gemma":0.02910747,"domain_scores_codex":[0.9955126,0.0004179339,0.0008399134,0.0008389871,0.001263051,0.001127537],"domain_scores_gemma":[0.9965941,0.0003506936,0.0004036429,0.0008473798,0.0005084306,0.001295738],"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":[0.001207137,0.002206959,0.09425329,0.0001939657,0.001354237,0.0002036199,0.04675858,0.00001229235,0.0002614599,0.2282861,0.6193075,0.005954831],"study_design_scores_gemma":[0.0008392916,0.0008746122,0.001219101,0.00003247496,0.0002704204,0.00001293583,0.01454549,0.000008127136,0.0005299417,0.005627926,0.9753598,0.000679886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370097,0.001109122,0.0002855736,0.01966941,0.002475386,0.00232447,0.0006371814,0.0005330312,0.1359561],"genre_scores_gemma":[0.9486399,0.00001445047,0.001330522,0.0007926964,0.00176559,0.0001259338,0.00005023774,0.0000777785,0.04720293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3560522,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492442016821091,"score_gpt":0.3224026168848829,"score_spread":0.267478196716672,"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."}}