{"id":"W2283042507","doi":"10.1007/0-306-48213-4_15","title":"The Bottleneck TSP","year":2006,"lang":"en","type":"book-chapter","venue":"Combinatorial optimization","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bottleneck; Computer science; Embedded system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496465,0.001085937,0.001064573,0.00144809,0.001120245,0.002831024,0.00165043,0.001237923,0.03661698],"category_scores_gemma":[0.001991378,0.0006814945,0.0005983245,0.00251391,0.001107169,0.004103457,0.001830511,0.002667969,0.01015887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894087,"about_ca_system_score_gemma":0.001863091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625506,"about_ca_topic_score_gemma":0.003232727,"domain_scores_codex":[0.9995697,0.00008397247,0.00001459736,0.0001234873,0.0001447547,0.00006341676],"domain_scores_gemma":[0.9996104,0.0001270356,0.0000240628,0.00009849501,0.00009463532,0.00004544781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005863585,0.00007751388,0.0001448338,0.0003256921,0.00003264056,0.0001025104,0.00009447841,0.02436587,0.001356816,0.6157845,0.1429327,0.2147238],"study_design_scores_gemma":[0.00001689395,0.00003037011,0.0002166029,0.000139113,0.00001976509,0.0002563435,0.00007329265,0.05395835,0.001760235,0.634424,0.3090871,0.00001796921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.009452607,0.0118611,0.2980329,0.003326153,0.001212097,0.0001016741,0.0009659933,0.001561058,0.6734865],"genre_scores_gemma":[0.2076681,0.01926695,0.2053238,0.002134413,0.001377918,0.0003944946,0.003186794,0.002649477,0.557998],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03661698,"threshold_uncertainty_score":0.122496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923679561488942,"score_gpt":0.2187868876056296,"score_spread":0.2088632080441407,"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."}}