{"id":"W7128647129","doi":"10.26180/5072848","title":"Assessing manufacturing plant competitiveness: an empirical field study","year":2017,"lang":"","type":"article","venue":"Monash University","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manufacturing process; Workforce; Portfolio; Manufacturing; Empirical research; Advanced manufacturing; Process (computing); Computer-integrated manufacturing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006678013,0.0003662362,0.0003395668,0.002735206,0.00347832,0.001172587,0.001470339,0.0009590727,0.002290823],"category_scores_gemma":[0.009370278,0.0004087692,0.0002707222,0.002590321,0.001641738,0.001047126,0.00105689,0.001011781,0.000534118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00400292,"about_ca_system_score_gemma":0.004593883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03641788,"about_ca_topic_score_gemma":0.07224389,"domain_scores_codex":[0.9966699,0.001566503,0.0001570738,0.0003791183,0.000747032,0.0004803646],"domain_scores_gemma":[0.9794341,0.01100247,0.002403128,0.0009600875,0.004501502,0.001698838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006700522,0.02057308,0.8614217,0.0003515366,0.0000455033,0.001443658,0.04536895,0.001129664,0.005651852,0.001223097,0.001527846,0.06059314],"study_design_scores_gemma":[0.0001021263,0.006929542,0.8975744,0.00007529318,0.00002470074,0.0004448294,0.08664432,0.001307289,0.002257103,0.000289376,0.00429659,0.000054517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99844,0.00002126918,0.0001919914,0.0000318241,0.000002302148,0.0001606189,0.00005664463,0.000002467848,0.001092965],"genre_scores_gemma":[0.9966479,0.00009695466,0.001537192,0.0001263084,0.00001114671,0.0002341933,0.0002137765,0.000003082238,0.001129449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03641788,"threshold_uncertainty_score":0.07241178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301703545827729,"score_gpt":0.3049235125302665,"score_spread":0.2319064770719892,"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."}}