{"id":"W4229049305","doi":"10.3390/en15072384","title":"Energy Efficiency and Industry 4.0 in Wood Industry: A Review and Comparison to Other Industries","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Efficient energy use; Manufacturing; Energy consumption; Focus (optics); Tertiary sector of the economy; Computer science; Energy (signal processing); Industrial organization; Manufacturing engineering; Engineering; Business; Marketing; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008406398,0.0006852014,0.001969824,0.001357769,0.0002154372,0.0004230311,0.0005835934,0.0009636487,0.0008773969],"category_scores_gemma":[0.000346631,0.0006316242,0.000100221,0.002887263,0.0001141156,0.0004369729,0.002044221,0.002154466,0.00001340219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899008,"about_ca_system_score_gemma":0.0001364785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854083,"about_ca_topic_score_gemma":0.0001532288,"domain_scores_codex":[0.9971627,0.0001129931,0.0008619313,0.0008364419,0.0004072118,0.0006187171],"domain_scores_gemma":[0.9987202,0.000158593,0.0005136364,0.0005168488,0.000046261,0.00004442688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004795426,0.0001010183,0.0004385694,0.04086856,0.0001043044,0.00005986831,0.00006358507,0.000264488,1.625622e-8,0.01243154,0.04052877,0.9051345],"study_design_scores_gemma":[0.0001846058,0.00001722268,0.00001737654,0.009835787,0.0005681354,0.000004781035,0.001250586,0.00002542241,9.64433e-8,0.0001286099,0.9873154,0.0006520134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001707653,0.9910736,0.000005539761,0.00112992,0.0001988785,0.0008921772,0.000008938034,0.0001172501,0.0064029],"genre_scores_gemma":[0.0002723392,0.9899008,0.00001980583,0.005330132,0.0004324223,0.0008723461,0.00005374611,0.0001156601,0.003002715],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9467866,"threshold_uncertainty_score":0.9996135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205103492504157,"score_gpt":0.2936721261727983,"score_spread":0.2516210912477567,"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."}}