{"id":"W4386882099","doi":"10.32920/24171252.v1","title":"Smart Manufacturing—Theories, Methods, and Applications","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptability; Flexibility (engineering); Digital manufacturing; Computer science; Robustness (evolution); Automation; Cyber-physical system; Resilience (materials science); Internet of Things; Measure (data warehouse); The Internet; Manufacturing engineering; Process management; Engineering; Embedded system; Data mining; Mathematics; Operating system","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":[0.002689617,0.001057905,0.0006876051,0.003736302,0.0009766346,0.004901267,0.001975026,0.002657374,0.008721103],"category_scores_gemma":[0.003950807,0.0006389031,0.0007694594,0.004909916,0.007594699,0.00556969,0.002454769,0.002846713,0.003223385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244625,"about_ca_system_score_gemma":0.002277803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208358,"about_ca_topic_score_gemma":0.001543012,"domain_scores_codex":[0.9981806,0.0007035314,0.0001252226,0.0002652221,0.0006447033,0.0000807047],"domain_scores_gemma":[0.9977992,0.001353928,0.0001464601,0.0003284383,0.0003087904,0.00006318273],"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":[0.00000542233,0.00003082054,0.000340354,0.0003908069,0.00001247053,0.00005091771,0.0002467966,0.002712677,0.0001305029,0.9154733,0.006579129,0.07402691],"study_design_scores_gemma":[0.000007238932,0.00001971741,0.0004023555,0.0006158692,0.000008545195,0.000131931,0.0003826337,0.01217936,0.0004272001,0.8581117,0.1276896,0.0000238189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005099981,0.1103348,0.6034788,0.01762892,0.001482301,0.0002489901,0.0004312288,0.000730263,0.2605647],"genre_scores_gemma":[0.2704662,0.1599607,0.5119401,0.004034962,0.002795449,0.001240858,0.0006863282,0.0003483626,0.04852703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008721103,"threshold_uncertainty_score":0.02917504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349005879275502,"score_gpt":0.2994630684734345,"score_spread":0.2659730096806794,"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."}}