{"id":"W1996357025","doi":"10.1007/s10601-014-9178-2","title":"The salesman and the tree: the importance of search in CP","year":2014,"lang":"en","type":"article","venue":"Constraints","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Travelling salesman problem; Generalization; Mathematical optimization; Computer science; Heuristic; Graph; Mathematics; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290858,0.00006034206,0.00008482264,0.00002608045,0.0001755687,0.00008150726,0.0004062802,0.00002486288,0.00001589527],"category_scores_gemma":[0.0001680601,0.00002827692,0.00002769212,0.0001879063,0.001336327,0.00007988609,0.00009288812,0.0001294869,0.000004135789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008912946,"about_ca_system_score_gemma":0.00005559049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001215852,"about_ca_topic_score_gemma":0.0003593504,"domain_scores_codex":[0.9991834,0.0002112084,0.0001883557,0.0001352284,0.0001478176,0.000133992],"domain_scores_gemma":[0.9987494,0.0007593429,0.00006765677,0.0003553954,0.00004247913,0.00002567048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007112587,0.000004974301,0.02203201,0.000002699215,0.000006118708,6.533174e-7,0.000822408,0.00006898632,0.00003158162,0.5403609,0.00007380246,0.4365888],"study_design_scores_gemma":[0.003459154,0.00005101754,0.6655223,0.00005393191,0.00001148862,0.0001043797,0.001226597,0.2948888,0.0004224167,0.03071937,0.00329882,0.0002417104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3135461,0.0005349555,0.5516518,0.06067232,0.0006890277,0.001233159,0.000005443412,0.0001073306,0.07155989],"genre_scores_gemma":[0.9987145,0.00006181931,0.0008189951,0.0003119176,0.00001486014,0.000007364123,3.342959e-7,0.000002286432,0.00006790609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6851684,"threshold_uncertainty_score":0.4923753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036059648106432,"score_gpt":0.2366117209435817,"score_spread":0.2262511244625173,"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."}}