{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151914,0.0009554274,0.001013755,0.001411893,0.0007969687,0.001132307,0.001674881,0.001826713,0.007177188],"category_scores_gemma":[0.002996722,0.0005881949,0.0006973772,0.001886484,0.0007394249,0.0008924289,0.0007026755,0.0009003069,0.0007927294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082432,"about_ca_system_score_gemma":0.00193728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006499837,"about_ca_topic_score_gemma":0.005645192,"domain_scores_codex":[0.9993615,0.0003724318,0.00002370081,0.00007322607,0.00007798361,0.00009110689],"domain_scores_gemma":[0.9986619,0.0009789508,0.00008853222,0.00005355054,0.0001536843,0.00006329962],"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":[0.0001360667,0.0001602232,0.0006766198,0.0001559983,0.00005738598,0.00008003611,0.00008710378,0.9303782,0.0007256939,0.007642721,0.002704976,0.05719499],"study_design_scores_gemma":[0.0000590899,0.00006323901,0.0001036158,0.00001435115,0.00001330633,0.00002423498,0.00004450227,0.995423,0.0002288094,0.003126024,0.0008937212,0.000006001204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07678639,0.001172174,0.9071318,0.0006960949,0.0001009525,0.0004186753,0.0003317101,0.001028377,0.01233391],"genre_scores_gemma":[0.3295259,0.0004148009,0.6651388,0.0002858737,0.00005321775,0.000660694,0.0005091614,0.0001535719,0.003258027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007177188,"threshold_uncertainty_score":0.02401006,"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."}}