{"id":"W7095810916","doi":"","title":"A TABU SEARCH APPROACH FOR SOLVING A DIFFICULT FOREST HARVESTING MACHINE LOCATION PROBLEM","year":2004,"lang":"en","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tabu search; Heuristics; Heuristic; Tree (set theory); Steiner tree problem; Flow network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002004155,0.0001518856,0.0001246472,0.0001012307,0.0001723855,0.0008072747,0.0006599768,0.00002668122,8.974176e-7],"category_scores_gemma":[0.0001604013,0.0001291979,0.00006090357,0.0005781117,0.00004931356,0.001545862,0.000255799,0.00007051983,0.00001498094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000696467,"about_ca_system_score_gemma":0.0001912063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00031275,"about_ca_topic_score_gemma":0.00004783714,"domain_scores_codex":[0.9986372,0.000009133891,0.0002095063,0.0004570792,0.0002760208,0.0004110376],"domain_scores_gemma":[0.99911,0.00005751709,0.00005533266,0.0003722491,0.0002543284,0.0001505794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002135384,0.001963037,0.007229777,0.0007557494,0.00006741133,0.00001157502,0.001339928,0.2505963,0.001649198,0.6497453,0.0007984832,0.0858219],"study_design_scores_gemma":[0.00159013,0.0001571359,0.003365404,0.000101379,0.00001692215,0.00004701402,0.0000879539,0.9782503,0.002640773,0.01309405,0.0002167241,0.0004322125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009987212,0.0001018335,0.9793044,0.0005090003,0.00003418139,0.0006251854,0.000005368162,0.0004997618,0.008933104],"genre_scores_gemma":[0.5724934,3.982457e-7,0.4267003,0.0001241862,0.00002736892,0.00008478912,0.00002952461,0.00001206308,0.0005279756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.727654,"threshold_uncertainty_score":0.7784569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157271160006158,"score_gpt":0.2468562548637777,"score_spread":0.2252835432637161,"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."}}