{"id":"W2592882128","doi":"10.1016/j.amc.2017.12.025","title":"Cospectrality of graphs with respect to distance matrices","year":2018,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Graph theory and applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Distance matrix; Resistance distance; Combinatorics; Mathematics; Distance matrices in phylogeny; Laplacian matrix; Laplace operator; Connectivity; Graph; Spectrum (functional analysis); Spectral line; Discrete mathematics; Line graph; Physics; Graph power; Mathematical analysis","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":[0.001239462,0.0009408371,0.0008455967,0.003995074,0.001733924,0.003671593,0.001382477,0.001300088,0.009401339],"category_scores_gemma":[0.008404287,0.0005259956,0.0005574206,0.002657193,0.00279074,0.005106289,0.002236114,0.00227818,0.00109115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965605,"about_ca_system_score_gemma":0.0004932772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007941009,"about_ca_topic_score_gemma":0.0007026229,"domain_scores_codex":[0.9981103,0.0005701834,0.00008466876,0.000519621,0.0004740283,0.0002411628],"domain_scores_gemma":[0.9922477,0.003321271,0.001435416,0.0007497445,0.001164373,0.001081499],"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":[0.00006976404,0.00003293723,0.0004356936,0.00003488164,0.000008566196,0.00006909153,0.0002929547,0.002093556,0.002219155,0.9865866,0.001144565,0.007012407],"study_design_scores_gemma":[0.00001328228,0.00002320528,0.0004502345,0.00001389005,0.000008028422,0.000176753,0.0001230883,0.01433268,0.001076447,0.9817452,0.002020786,0.00001657646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6576771,0.0006496092,0.261647,0.002293202,0.0003712848,0.00008072633,0.0008135254,0.0004061996,0.07606131],"genre_scores_gemma":[0.9539444,0.0006131842,0.03061184,0.0004883772,0.0006580816,0.0001099743,0.0006556791,0.0003092416,0.01260911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009401339,"threshold_uncertainty_score":0.03145063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554821991534787,"score_gpt":0.2995560346197821,"score_spread":0.2740078147044342,"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."}}