{"id":"W2507287417","doi":"10.14288/1.0305131","title":"Developing simulation models to improve the production process of a parallam mill","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Production (economics); Process (computing); Mill; Computer science; Manufacturing engineering; Process engineering; Engineering; Economics; Mechanical engineering; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001399992,0.001181476,0.001058264,0.0008739987,0.0009821502,0.00197608,0.001614681,0.002045073,0.006036002],"category_scores_gemma":[0.003687317,0.0009290985,0.001355688,0.0008390796,0.000517287,0.00117182,0.0007291534,0.001955661,0.0006311316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264816,"about_ca_system_score_gemma":0.003204335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05594904,"about_ca_topic_score_gemma":0.03009601,"domain_scores_codex":[0.999592,0.0001395596,0.00002622114,0.00006761783,0.00008947236,0.00008510182],"domain_scores_gemma":[0.9966563,0.002373521,0.000231764,0.0001135927,0.0005009731,0.000123731],"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":[0.00002677829,0.00003005717,0.0006303529,0.00001804534,0.000005867807,0.00002037128,0.00001652129,0.9970486,0.0001723299,0.0008771081,0.00009258075,0.001061396],"study_design_scores_gemma":[0.000008667577,0.00001132686,0.00007312449,0.000004465714,0.000004342326,0.000002060097,0.00001075492,0.9991391,0.0001863691,0.0002782863,0.0002786881,0.00000281946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4991347,0.000826304,0.4433564,0.001314927,0.0002922651,0.0008398941,0.003113065,0.002283704,0.04883875],"genre_scores_gemma":[0.9113661,0.000462809,0.07866514,0.0001070485,0.00001916217,0.0005712036,0.001511801,0.0001206933,0.007176126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05594904,"threshold_uncertainty_score":0.1112468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594335346478955,"score_gpt":0.1937893366175632,"score_spread":0.1778459831527737,"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."}}