{"id":"W2331866424","doi":"10.1021/ie500608w","title":"Dynamic Operability Analysis of Process Supply Chains for Forest Industry Transformation","year":2014,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Process Optimization and Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Operability; Supply chain; Computer science; Supply and demand; Process (computing); Pareto principle; Key (lock); Product (mathematics); Supply chain optimization; Operations research; Supply chain management; Business; Operations management; Economics; Microeconomics; 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":[0.00128705,0.0008396812,0.0006406136,0.0009749681,0.0006476442,0.00124623,0.0005217275,0.0007750955,0.002835035],"category_scores_gemma":[0.002265108,0.0003969913,0.001029216,0.000694891,0.0008968714,0.0008646749,0.0008715961,0.000996771,0.0001313583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767902,"about_ca_system_score_gemma":0.001476852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159051,"about_ca_topic_score_gemma":0.005088894,"domain_scores_codex":[0.9994955,0.0001873889,0.00001741905,0.0000636957,0.0001275241,0.0001084603],"domain_scores_gemma":[0.9988768,0.0008165759,0.0001349839,0.00002994555,0.00009105958,0.00005058262],"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":[0.00001106581,0.00001082806,0.0001618499,0.000006701677,0.000004969138,0.00002286871,0.000008663157,0.995073,0.0003120019,0.003412144,0.00002352675,0.0009524117],"study_design_scores_gemma":[0.000001538615,0.000009652677,0.00007515337,9.821703e-7,0.000001750527,0.000002153684,0.000006080052,0.9981428,0.00008375749,0.001630214,0.00004409813,0.000001711409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.281459,0.0002447114,0.7068645,0.0003957294,0.00001554645,0.0001385764,0.0001782563,0.0001052444,0.0105985],"genre_scores_gemma":[0.9868069,0.0001323355,0.01094695,0.00001493597,0.00000609756,0.00009051312,0.00008508201,0.00001692833,0.001900211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01159051,"threshold_uncertainty_score":0.02304608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104265541606693,"score_gpt":0.3327395589921399,"score_spread":0.291696903576073,"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."}}