{"id":"W4379184494","doi":"10.5430/jbar.v12n1p71","title":"Reviewer Acknowledgements for Journal of Business Administration Research, Vol. 12, No. 1","year":2023,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Psychology; Sociology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01137576,0.0001888159,0.0004415963,0.001460882,0.0005781532,0.0006634205,0.001611285,0.0001419358,0.0001608519],"category_scores_gemma":[0.04474562,0.000153353,0.0001327178,0.005941886,0.0002149944,0.002324005,0.0002606758,0.0006748901,0.0004274934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940817,"about_ca_system_score_gemma":0.004963494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002104252,"about_ca_topic_score_gemma":0.00001351651,"domain_scores_codex":[0.994221,0.0004365759,0.001482244,0.0002937977,0.002950558,0.0006158282],"domain_scores_gemma":[0.8290272,0.0006173059,0.0006869925,0.0003633817,0.1690674,0.0002376765],"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":[0.0006221335,0.0007973299,0.002315309,0.001125278,0.0001043206,0.0001314021,0.0002895903,0.000372194,0.002913725,0.002072186,0.9745439,0.01471261],"study_design_scores_gemma":[0.004660612,0.006198938,0.1608786,0.002702231,0.00006868754,0.0003906666,0.000350014,0.0121205,0.01678274,0.01567848,0.7793614,0.0008070904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3315504,0.00333895,0.5194686,0.05773814,0.07877179,0.004754017,0.00009589001,0.0002439688,0.004038261],"genre_scores_gemma":[0.9271925,0.005832727,0.02318833,0.0002269252,0.02429486,0.00008189545,0.00008323016,0.0001144273,0.01898512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5956421,"threshold_uncertainty_score":0.9633009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563784765977681,"score_gpt":0.4125098156172135,"score_spread":0.2561313390194454,"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."}}