{"id":"W2765812640","doi":"10.1139/cjfr-2017-0240","title":"A bi-level model formulation for the distributed wood supply planning problem","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Supply chain; Consumption (sociology); Computer science; Mathematical optimization; Operations research; Mathematics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001159374,0.000890186,0.0009393552,0.0004093421,0.0004353869,0.002230096,0.001551201,0.002088003,0.009941322],"category_scores_gemma":[0.002732465,0.0007170352,0.001167187,0.001310963,0.0006088913,0.001606703,0.001209603,0.002384129,0.001197461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739829,"about_ca_system_score_gemma":0.002710113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01449758,"about_ca_topic_score_gemma":0.02270819,"domain_scores_codex":[0.9993161,0.000221933,0.00003667866,0.0001954022,0.0001372141,0.00009268198],"domain_scores_gemma":[0.9988772,0.0007198286,0.0001006571,0.00007131752,0.0001619367,0.00006910921],"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":[0.00001804682,0.00001973875,0.000182883,0.00005455143,0.00001020389,0.00004732591,0.00002885351,0.9777285,0.0002476574,0.01432042,0.001388812,0.005952979],"study_design_scores_gemma":[0.00001101808,0.000009720226,0.0000579541,0.00000562082,0.00000382194,0.00001204783,0.0000128008,0.9911097,0.00005840195,0.007505929,0.001209547,0.000003526737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01177052,0.000303986,0.9755679,0.0009210067,0.00006956991,0.0001468737,0.001073918,0.0002673292,0.009878895],"genre_scores_gemma":[0.3466589,0.0005701,0.6337062,0.000433283,0.00007642336,0.001018329,0.002086754,0.0002124907,0.01523762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01449758,"threshold_uncertainty_score":0.03325701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131632537886079,"score_gpt":0.3587497042819768,"score_spread":0.2271171663958978,"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."}}