{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001983356,0.0001365803,0.0001288229,0.0002352662,0.00007068487,0.00003988317,0.0001211269,0.0000848053,0.00002536591],"category_scores_gemma":[0.000157463,0.0001363825,0.00003895474,0.0003762954,0.00001751197,0.00022814,0.00002553406,0.00006384165,0.00001091096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823142,"about_ca_system_score_gemma":0.00001479902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004703072,"about_ca_topic_score_gemma":0.00002953399,"domain_scores_codex":[0.9990507,0.000009976993,0.0002310265,0.0002618341,0.0001621042,0.0002843934],"domain_scores_gemma":[0.9996643,0.00002589629,0.00003084206,0.0002106877,0.00003875767,0.00002950503],"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":[0.00003394981,0.0001011511,0.00227438,0.00003677885,0.000009107124,0.000002666377,0.0001484209,0.7030375,0.03594471,0.0007379528,0.0002140307,0.2574593],"study_design_scores_gemma":[0.0007176088,0.0001027811,0.03589004,0.00002836733,0.000007999729,0.000001093112,0.00002953072,0.9463291,0.007992471,0.003824764,0.004866728,0.0002095113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7279372,0.00005119444,0.2703019,0.00006670744,0.0002106685,0.0007131448,0.000003464219,0.0002128085,0.0005029492],"genre_scores_gemma":[0.9865911,0.000006850107,0.013088,0.0001605145,0.00003855157,0.00002275657,0.000009632669,0.00001384087,0.00006874264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2586539,"threshold_uncertainty_score":0.5561516,"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."}}