{"id":"W4234924080","doi":"10.5539/emr.v4n2p87","title":"Reviewer Acknowledgements","year":2015,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Animal science; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003374057,0.0002780335,0.0002417453,0.001251219,0.0001394205,0.0004455149,0.0007414308,0.00005863279,0.0003666343],"category_scores_gemma":[0.002183924,0.0002760844,0.00009054126,0.001780539,0.00003740671,0.0007611364,0.00108431,0.000373157,0.01303497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965602,"about_ca_system_score_gemma":0.00001269102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003091925,"about_ca_topic_score_gemma":0.000002818034,"domain_scores_codex":[0.9970237,0.00001928066,0.0003213968,0.0004985587,0.0012382,0.0008988808],"domain_scores_gemma":[0.9969191,0.00003096425,0.00004791167,0.0006903808,0.002237336,0.00007431805],"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":[0.000009713676,0.000115707,0.0003639736,0.000946489,0.0001147458,0.00005842686,0.0000320006,0.01355339,0.00001230318,0.0498091,0.9236821,0.01130207],"study_design_scores_gemma":[0.0006113066,0.00001435251,0.000999578,0.0001490362,0.00003261519,3.042461e-7,0.0001337717,0.02045386,0.00001336794,0.0008358574,0.9764455,0.0003104233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02771739,0.003766435,0.04003889,0.002076632,0.03490958,0.004461198,0.00000280947,0.004028812,0.8829982],"genre_scores_gemma":[0.7925428,0.0005871203,0.01518869,0.001897216,0.03609776,0.001948876,0.000174615,0.0006900993,0.1508729],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7648253,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08979734154337314,"score_gpt":0.3155613687307196,"score_spread":0.2257640271873464,"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."}}