{"id":"W1977873546","doi":"10.1007/s11590-006-0032-3","title":"On pitfalls in computing the geodetic number of a graph","year":2006,"lang":"en","type":"article","venue":"Optimization Letters","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Geodetic datum; Combinatorics; Mathematics; Shortest path problem; Graph; Geodesic; Discrete mathematics","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":[0.0001636247,0.00006167956,0.00006460737,0.00007783655,0.00004282991,0.00008131315,0.0004169516,0.00001206606,0.00001412614],"category_scores_gemma":[0.000007095338,0.00004796421,0.00002415738,0.0004371035,0.00002896672,0.0002207322,0.00009089047,0.00004805891,0.00001279858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001061589,"about_ca_system_score_gemma":0.000003385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006606783,"about_ca_topic_score_gemma":0.000002846268,"domain_scores_codex":[0.9993763,0.00004061386,0.0001573885,0.0001535141,0.0001532992,0.0001189161],"domain_scores_gemma":[0.9995872,0.00006004706,0.00007513414,0.0002558504,0.00001337326,0.000008390064],"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":[8.798445e-7,0.00002880931,0.0009446251,0.000003241857,0.000002494927,0.000002820469,0.00005285962,0.9620091,0.00001955309,0.03258109,0.003229653,0.001124896],"study_design_scores_gemma":[0.0002481298,0.000006373775,0.003086531,0.00001902043,0.000002200362,9.349871e-7,0.000005497984,0.9955676,0.00004340141,0.000758026,0.0001834203,0.00007885257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01621657,0.000003460833,0.9775623,0.003838014,0.0001123479,0.0000943032,8.530564e-7,0.00003134581,0.002140783],"genre_scores_gemma":[0.7604529,0.000004994732,0.2347372,0.00458586,0.00005542908,0.000005080447,0.00002589861,0.000009735303,0.0001229583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7442363,"threshold_uncertainty_score":0.1955924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004860542944742337,"score_gpt":0.2094886417888088,"score_spread":0.2046280988440664,"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."}}