{"id":"W4415096651","doi":"10.1002/ente.202501297","title":"Enhancing Energy Efficiency in the Wood Furniture Sector Through Industry 4.0: Real‐Time Implementation and Case Study","year":2025,"lang":"en","type":"article","venue":"Energy Technology","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Service de Recherche et d'EXpertise en Transformation des Produits Forestiers; École de Technologie Supérieure; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Energy consumption; Scalability; Thermal energy; Machining; Cost reduction; Thermal efficiency; Energy management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222307,0.0001639067,0.0001582625,0.0003512282,0.00008888815,0.00004619924,0.0002062591,0.0004388609,0.00003512745],"category_scores_gemma":[0.00001104289,0.0001427656,0.00001795376,0.001042712,0.00005863351,0.000206925,0.00004749418,0.0004425001,0.000001579776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007397923,"about_ca_system_score_gemma":0.00002962985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004680027,"about_ca_topic_score_gemma":0.001634553,"domain_scores_codex":[0.999094,0.00003793964,0.0003263232,0.0001854641,0.00009964291,0.0002566462],"domain_scores_gemma":[0.999596,0.00007057466,0.00003153072,0.0002651771,0.0000209598,0.00001573831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000032875,0.001157568,0.01435137,0.0002565934,0.0006454534,0.003796807,0.02217757,0.02006222,0.01902844,0.6139485,0.005703885,0.2988387],"study_design_scores_gemma":[0.008402531,0.001187893,0.002326518,0.0003680079,0.0002422793,0.004545989,0.5750134,0.004333531,0.2693594,0.02616909,0.1057703,0.002281094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971336,0.0001653454,0.002737542,0.0002853315,0.0001502362,0.0001293014,0.000007167804,0.0004498752,0.02473921],"genre_scores_gemma":[0.9994649,0.00003434631,0.00009852498,0.00008317883,0.00002486914,0.0001428708,0.000008168958,0.00001597239,0.0001271801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5877794,"threshold_uncertainty_score":0.5821812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008136450211170126,"score_gpt":0.2563957550200572,"score_spread":0.2482593048088871,"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."}}