{"id":"W4313670184","doi":"","title":"Toward digital twins for sawmill production planning and control: Benefits, opportunities, and challenges","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Resources Canada","keywords":"Production (economics); Control (management); Production planning; Business; Computer science; Economics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003315678,0.0008412027,0.0007553779,0.0009914534,0.001113948,0.00596199,0.002212998,0.001631247,0.006002731],"category_scores_gemma":[0.004715537,0.0005738531,0.0006078931,0.001627104,0.001521942,0.007954549,0.004238796,0.002172365,0.001344081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126367,"about_ca_system_score_gemma":0.003732653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003376169,"about_ca_topic_score_gemma":0.004616268,"domain_scores_codex":[0.9984338,0.0003712497,0.00008494511,0.0002691152,0.0006952411,0.000145602],"domain_scores_gemma":[0.9972293,0.0005429483,0.0002015934,0.0006344365,0.001092894,0.0002988771],"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":[0.0007954358,0.0006193939,0.004412209,0.0003486527,0.000093521,0.0003453988,0.000727706,0.1107662,0.04787077,0.231875,0.005775272,0.5963705],"study_design_scores_gemma":[0.0001489555,0.001244025,0.0023576,0.000264646,0.0001244704,0.0003604815,0.00232772,0.6345214,0.09182205,0.1590182,0.1076875,0.0001229363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08057383,0.001355129,0.8796766,0.002550026,0.0004153938,0.0001912538,0.0001214289,0.001078492,0.03403786],"genre_scores_gemma":[0.5257782,0.001312762,0.4541923,0.0004636431,0.0001008818,0.0001048452,0.0002611362,0.0002596371,0.01752654],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006002731,"threshold_uncertainty_score":0.0200811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07117614662544344,"score_gpt":0.2256903606642794,"score_spread":0.1545142140388359,"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."}}