{"id":"W2374483656","doi":"","title":"Research on Teaching Assistance System of TSP Based on Clark-Wright Saving Algorithm","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Travelling salesman problem; Algorithm; Wright; Quality (philosophy); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003455672,0.000390302,0.0004278447,0.0007256044,0.0005224454,0.0006706742,0.0008796926,0.0005367451,0.008469636],"category_scores_gemma":[0.001121253,0.0001857818,0.0003165214,0.000645088,0.0001832135,0.0008541701,0.0003480593,0.0002957484,0.001105336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130225,"about_ca_system_score_gemma":0.0009612257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436892,"about_ca_topic_score_gemma":0.001754394,"domain_scores_codex":[0.9996376,0.00007901058,0.00002020497,0.00009179585,0.000126561,0.0000448204],"domain_scores_gemma":[0.9997303,0.00007031237,0.00001587921,0.00002794063,0.0001232259,0.00003234003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003832384,0.0004190766,0.004985572,0.0003969744,0.00006195624,0.0003381799,0.0005716063,0.08321793,0.0470661,0.02671283,0.0150792,0.8207675],"study_design_scores_gemma":[0.0002367805,0.0003465649,0.00223185,0.0000295796,0.00007299235,0.0003075749,0.0001167525,0.9358267,0.0260855,0.003997418,0.03071174,0.00003655049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.149613,0.000802565,0.7943221,0.0004858022,0.0002642453,0.0004510336,0.0001583269,0.006652048,0.04725092],"genre_scores_gemma":[0.7528475,0.0008234338,0.2242234,0.0001626471,0.0001122568,0.000343817,0.0003581813,0.0001790692,0.02094959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008469636,"threshold_uncertainty_score":0.02833378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534005959532737,"score_gpt":0.424535511397678,"score_spread":0.2711349154444044,"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."}}