{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004148819,0.0001678468,0.0003112309,0.0008076338,0.001736594,0.0001721119,0.001159912,0.0001172791,0.00003502443],"category_scores_gemma":[0.00005388519,0.0001375553,0.0001709227,0.001578742,0.0002867345,0.00009499618,0.00008660672,0.000654861,0.0009796214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294397,"about_ca_system_score_gemma":0.0002239461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002541136,"about_ca_topic_score_gemma":0.000002350988,"domain_scores_codex":[0.9963433,0.0005094896,0.0006892529,0.0007702082,0.00126377,0.00042394],"domain_scores_gemma":[0.9947935,0.003030282,0.0002258212,0.001203949,0.0005930815,0.0001533324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008277423,0.002785767,0.006249762,0.0001075791,0.0001265407,0.00003975665,0.002646966,0.07056519,0.009353993,0.1604026,0.08482993,0.6628091],"study_design_scores_gemma":[0.001206453,0.0002520797,0.02839279,0.0004496008,0.00002892511,0.00005797734,0.000811375,0.3173845,0.007886165,0.003742757,0.6391546,0.000632868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02613514,0.000105581,0.9636198,0.0004976814,0.00006891057,0.0004925908,0.00004962973,0.0001372689,0.008893444],"genre_scores_gemma":[0.6873782,0.000001084254,0.3112945,0.00008911105,0.0002011381,0.0001573435,0.00001080833,0.00001658213,0.0008512598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6621763,"threshold_uncertainty_score":0.9997982,"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."}}