{"id":"W2464160969","doi":"","title":"Production planning for integrated primary and secondary lumber manufacturing","year":2007,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Revenue; Added value; Production planning; Net present value; Wood processing; Value (mathematics); Mill; Manufacturing engineering; Operations management; Engineering; Business; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127546,0.001056565,0.001011005,0.0004607925,0.0005238334,0.001859875,0.001580486,0.001100911,0.008472912],"category_scores_gemma":[0.001650449,0.0009250005,0.001320639,0.0006400943,0.0006865727,0.001177993,0.0009008818,0.001338921,0.0006810685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741921,"about_ca_system_score_gemma":0.003059532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408055,"about_ca_topic_score_gemma":0.0203198,"domain_scores_codex":[0.9991158,0.0003026001,0.00001880601,0.0002034186,0.0001654052,0.0001939784],"domain_scores_gemma":[0.9991696,0.0004870749,0.0001051026,0.00004256074,0.0001025028,0.00009316161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005217938,0.00004932449,0.0002891404,0.00002754545,0.000008684315,0.00004634712,0.00002153714,0.9904497,0.0004024525,0.003044408,0.0002439427,0.005364751],"study_design_scores_gemma":[0.00001700748,0.00007159221,0.0001912114,0.000007098649,0.000008257405,0.000009725187,0.00002206499,0.9959505,0.0004763078,0.002518207,0.0007209533,0.000007196896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1786283,0.0003681938,0.7902517,0.000353643,0.00005823183,0.000408131,0.0006045474,0.0005036943,0.02882363],"genre_scores_gemma":[0.8888394,0.0001854122,0.0995701,0.000055968,0.00001656027,0.0003255326,0.0003256865,0.00008470159,0.01059667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408055,"threshold_uncertainty_score":0.02834475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008031895808280782,"score_gpt":0.2313324452670702,"score_spread":0.2233005494587894,"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."}}