{"id":"W2767149145","doi":"10.1080/14942119.2017.1371544","title":"Integrating operational planning decisions throughout the forest products industry supply chain under supply and demand uncertainty","year":2017,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Lakehead University","funders":"","keywords":"Supply chain; Yard; Supply chain risk management; Mill; Supply chain management; Business; Supply and demand; Service management; Economic shortage; Operations management; Engineering; Economics; Marketing; Microeconomics","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":[0.001498718,0.0009332067,0.0009085295,0.0006589112,0.0008334281,0.002432887,0.0009553032,0.001071419,0.001974119],"category_scores_gemma":[0.002462678,0.000920062,0.0007264405,0.001041035,0.000694832,0.002192364,0.001151503,0.001116811,0.0001740914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915968,"about_ca_system_score_gemma":0.00371795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795964,"about_ca_topic_score_gemma":0.01450461,"domain_scores_codex":[0.9990579,0.0003691167,0.00004893271,0.000151518,0.0001983369,0.0001741849],"domain_scores_gemma":[0.9987994,0.0006276139,0.0002567394,0.00005092997,0.0001575466,0.0001078043],"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":[0.00002165957,0.00001471293,0.0004454593,0.0000106902,0.00001199159,0.00004150188,0.00002475835,0.9940358,0.000240162,0.001354059,0.0000485732,0.003750566],"study_design_scores_gemma":[0.00000576794,0.00002716665,0.0001879134,0.000005587185,0.00001248817,0.00000883708,0.00004452405,0.9965183,0.0002489408,0.002703408,0.0002293939,0.000007769861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2550071,0.0004873429,0.7342616,0.0007318506,0.00004373029,0.0002577256,0.0002607456,0.000239202,0.008710645],"genre_scores_gemma":[0.9579257,0.0003352812,0.03959103,0.00004558948,0.00001431855,0.0001022919,0.0001531234,0.00002207816,0.001810706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01795964,"threshold_uncertainty_score":0.03571022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888501504505501,"score_gpt":0.2748401768148337,"score_spread":0.2559551617697787,"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."}}