{"id":"W3194273524","doi":"10.5539/ibr.v14n10p1","title":"Discussion on the Flexible Manufacturing and Operation Strategy Model for a Machine Tool Component Company in Taiwan","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manufacturing engineering; Manufacturing; Pace; Advanced manufacturing; Manufacturing operations; Industry 4.0; Variety (cybernetics); Production (economics); Computer science; Component (thermodynamics); Integrated Computer-Aided Manufacturing; Lean manufacturing; Computer-integrated manufacturing; Order (exchange); Business; Industrial organization; Marketing; Engineering; Economics; Artificial intelligence","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":[0.000655791,0.00027961,0.0001102626,0.0007098558,0.002043624,0.002946513,0.0008980232,0.00154449,0.007915241],"category_scores_gemma":[0.0008355233,0.0001189598,0.000534169,0.0006841349,0.000743536,0.002352909,0.0009025653,0.00116668,0.0005570493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005599648,"about_ca_system_score_gemma":0.004201653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106998,"about_ca_topic_score_gemma":0.02281773,"domain_scores_codex":[0.999611,0.00008510757,0.00001915089,0.00006226531,0.00009200524,0.0001304754],"domain_scores_gemma":[0.9997298,0.000086206,0.00002953758,0.00001685445,0.00007253232,0.00006495198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001087396,0.0002712463,0.01750673,0.0002036027,0.00003222812,0.01152228,0.01835872,0.03285133,0.005542208,0.8362306,0.01956582,0.05780648],"study_design_scores_gemma":[0.00009835356,0.0008023354,0.02702615,0.0005476924,0.0001037383,0.002540179,0.07266374,0.2156245,0.006168448,0.1434971,0.5306942,0.0002335485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5259894,0.001167849,0.0494857,0.03768092,0.0002692922,0.0008347481,0.0002521892,0.0001752019,0.3841447],"genre_scores_gemma":[0.9467649,0.0005607419,0.00492843,0.0008286738,0.00002984946,0.0001564728,0.0001124203,0.00001693236,0.04660169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03106998,"threshold_uncertainty_score":0.06177825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017705256813528,"score_gpt":0.3478008248747152,"score_spread":0.2460302991933624,"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."}}