{"id":"W7006072923","doi":"","title":"Solving Canadian Traveller Problem","year":2017,"lang":"cs","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Identity (music)","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":[0.0008993521,0.001083821,0.0009556417,0.0009573961,0.001715002,0.002916997,0.001688763,0.002585009,0.03504563],"category_scores_gemma":[0.003754351,0.0004118522,0.001067463,0.001283755,0.0007794237,0.002120608,0.001514279,0.00208192,0.001495147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005194345,"about_ca_system_score_gemma":0.008299087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1927803,"about_ca_topic_score_gemma":0.1917078,"domain_scores_codex":[0.9991621,0.000220289,0.00003603276,0.0002143409,0.0001398135,0.0002273491],"domain_scores_gemma":[0.9989641,0.0005877119,0.00005208609,0.00006210255,0.0001930411,0.00014098],"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":[0.0004044862,0.0003787481,0.003042821,0.0007893916,0.0001480803,0.0004778715,0.0004651784,0.7020456,0.0009067723,0.1330527,0.05375376,0.1045346],"study_design_scores_gemma":[0.0001389989,0.0001640136,0.001475364,0.0001195449,0.00006444874,0.0001483375,0.001303562,0.8906839,0.0009990722,0.05635792,0.04848338,0.00006153391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2737458,0.002329365,0.3487411,0.009390985,0.000695198,0.001141029,0.005555641,0.001283081,0.3571179],"genre_scores_gemma":[0.701022,0.001516766,0.1899586,0.0006479817,0.0001128127,0.0004876853,0.004971967,0.0003868788,0.1008953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1927803,"threshold_uncertainty_score":0.3833164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005919188159447874,"score_gpt":0.1775828400306604,"score_spread":0.1716636518712126,"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."}}