{"id":"W2103597348","doi":"10.4067/s0718-221x2008000300006","title":"Using flow simulation as a decision tool for improvements in sawmill productivity","year":2009,"lang":"en","type":"article","venue":"Maderas Ciencia y tecnología","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bottleneck; Productivity; Line (geometry); Production line; Simulation; Assembly line; Computer science; Engineering; Mathematics; Operations management; Mechanical engineering","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":[0.001603324,0.001015231,0.00120348,0.0008073854,0.0006259552,0.001259893,0.001105927,0.001313549,0.00327774],"category_scores_gemma":[0.003817675,0.0007628019,0.0008798019,0.0005403308,0.0005476014,0.001316717,0.0005457985,0.00111844,0.0002293794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587561,"about_ca_system_score_gemma":0.002454031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616463,"about_ca_topic_score_gemma":0.008882065,"domain_scores_codex":[0.9995778,0.0001824246,0.0000220685,0.00007003097,0.00008032551,0.00006733939],"domain_scores_gemma":[0.9978065,0.001616106,0.0001811024,0.00008700167,0.0002278534,0.0000813587],"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":[0.00001966296,0.00002513653,0.000328095,0.00001013591,0.000004953784,0.00001161056,0.000008519094,0.9975122,0.0003622753,0.0006426908,0.00004084726,0.001033766],"study_design_scores_gemma":[0.00000608604,0.000009904835,0.00002767472,0.000001526862,0.000002288852,9.001814e-7,0.000002416991,0.9993805,0.0002759646,0.0002246867,0.00006566214,0.000002426296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2439943,0.0001216013,0.7459291,0.0003684049,0.00009944025,0.0003281393,0.0005700512,0.001484763,0.007104283],"genre_scores_gemma":[0.9220403,0.00009573483,0.07567087,0.00005882773,0.00001324076,0.0002798314,0.0002249343,0.00006302211,0.001553327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01616463,"threshold_uncertainty_score":0.03214109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321024969885245,"score_gpt":0.2862175178459073,"score_spread":0.2630072681470549,"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."}}