{"id":"W4237257500","doi":"10.5539/emr.v7n1p88","title":"Reviewer Acknowledgements for Engineering Management Research, Vol. 7, No. 1","year":2018,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Engineering management; Library science; Engineering ethics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05103621,0.00289641,0.007023319,0.01179703,0.006377298,0.01114709,0.006164231,0.01835008,0.08049209],"category_scores_gemma":[0.547776,0.001800034,0.004569761,0.005338144,0.003475668,0.008150874,0.004645361,0.0128941,0.04927431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007169384,"about_ca_system_score_gemma":0.01486062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050868,"about_ca_topic_score_gemma":0.007485433,"domain_scores_codex":[0.9260727,0.01340403,0.01724837,0.004713851,0.03586099,0.002700173],"domain_scores_gemma":[0.15201,0.03429156,0.01486348,0.006882502,0.7836342,0.008318188],"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":[0.00002626513,0.000004621407,0.00009390203,0.000712762,0.00001053512,0.00006665939,0.00006748484,0.000009893945,0.00004322891,0.0001343745,0.9937717,0.005058377],"study_design_scores_gemma":[0.0001918989,0.0000453267,0.001057982,0.005925721,0.0001075149,0.0009837257,0.0006690974,0.0002475154,0.0002974584,0.001374759,0.9889544,0.0001446508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001599174,0.003766897,0.001094739,0.1555922,0.8344589,0.0007401815,0.0006368134,0.0004156142,0.003134797],"genre_scores_gemma":[0.005834023,0.01030714,0.003411261,0.2070469,0.7083842,0.004490184,0.001668398,0.001323035,0.0575349],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08049209,"threshold_uncertainty_score":0.2699085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741022609092747,"score_gpt":0.3505772900686071,"score_spread":0.3031670639776796,"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."}}