{"id":"W2032885550","doi":"10.1021/ie058051y","title":"Simulation and Optimization of the Continuous Oriented Strand Board Pressing Process","year":2006,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pressing; Oriented strand board; Hot pressing; Heat transfer; Materials science; Process engineering; Mechanical engineering; Computer science; Composite material; Engineering; Mechanics","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":[0.0002596838,0.0004122,0.0004433949,0.0002455335,0.000235761,0.0005867481,0.0003755404,0.000834716,0.001787877],"category_scores_gemma":[0.0007069003,0.0002410981,0.0003629675,0.0002041592,0.000463775,0.0003084163,0.0002961649,0.0003617249,0.0001266074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004453042,"about_ca_system_score_gemma":0.0008048905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007007109,"about_ca_topic_score_gemma":0.00385738,"domain_scores_codex":[0.9999328,0.00001759709,0.000002552236,0.00001341627,0.00001458624,0.00001917402],"domain_scores_gemma":[0.999711,0.0001998812,0.00002835108,0.0000133258,0.00002975841,0.00001760295],"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":[0.00002402675,0.0000168257,0.0002628693,0.000008309331,0.000002898437,0.00001899199,0.000008122731,0.9975561,0.001029303,0.0002727831,0.00002957991,0.0007701244],"study_design_scores_gemma":[0.000006148432,0.00001989828,0.0001028039,7.507264e-7,0.000001422596,0.000002219902,0.000004231509,0.9993039,0.000402595,0.00009854467,0.00005598742,0.000001358807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644465,0.0001203045,0.1250333,0.0001500007,0.00002802178,0.00009154838,0.0002462731,0.0003435133,0.009540521],"genre_scores_gemma":[0.9835375,0.00005721934,0.01450976,0.00001476818,0.000002917311,0.0000777479,0.000117353,0.00001829016,0.001664476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007007109,"threshold_uncertainty_score":0.01393265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043962830692208,"score_gpt":0.2866237354452432,"score_spread":0.2426609047530352,"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."}}