{"id":"W4297908247","doi":"10.5296/ber.v12i4.19971","title":"Cloud Manufacturing with Fuzzy Inference System: A Supply Chain Approach to Post COVID-19 Economy","year":2022,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Prince Edward Island","funders":"Jacobs University; Sharif University of Technology","keywords":"Cloud computing; Supply chain; Flexibility (engineering); Context (archaeology); Cloud manufacturing; Fuzzy logic; Computer science; Reliability (semiconductor); Inference; Risk analysis (engineering); Business; Economics; Artificial intelligence; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007428554,0.0004778958,0.0005836681,0.000671077,0.0009603817,0.001431039,0.001276887,0.00129049,0.002758895],"category_scores_gemma":[0.001393247,0.0003257472,0.0008262707,0.0007568651,0.0007328567,0.001072189,0.0009003012,0.00108872,0.0002360784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003723,"about_ca_system_score_gemma":0.001715916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468115,"about_ca_topic_score_gemma":0.01751177,"domain_scores_codex":[0.9996357,0.0001427976,0.00001947337,0.00007923423,0.00007506915,0.00004774452],"domain_scores_gemma":[0.9994416,0.0003192989,0.00006536737,0.00002719857,0.0001121011,0.00003436635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003101346,0.00003482842,0.0005407097,0.00003169867,0.0000278727,0.0001229275,0.00006661205,0.9690899,0.0005623352,0.02115461,0.0002370032,0.008100531],"study_design_scores_gemma":[0.000004001425,0.00001555882,0.00008733197,0.000005491659,0.000007244167,0.00000982672,0.00002194915,0.9929391,0.0001457988,0.006460715,0.0002978929,0.000005016749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04571262,0.0004369358,0.941406,0.0007498313,0.00007423024,0.0001075458,0.0001423392,0.0001861158,0.01118434],"genre_scores_gemma":[0.8856542,0.0004361582,0.1102143,0.0001070967,0.00004878086,0.00009453523,0.00007965608,0.00002053544,0.003344808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02468115,"threshold_uncertainty_score":0.04907501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586503095170921,"score_gpt":0.2790683817756391,"score_spread":0.2232033508239299,"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."}}