{"id":"W2062331061","doi":"10.1016/j.laa.2014.06.010","title":"Distance spectra of graphs: A survey","year":2014,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Graph theory and applications","field":"Mathematics","cited_by":299,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Distance matrix; Mathematics; Distance matrices in phylogeny; Eigenvalues and eigenvectors; Combinatorics; Resistance distance; Characteristic polynomial; Matrix (chemical analysis); Graph; Degree matrix; Adjacency matrix; Discrete mathematics; Polynomial; Line graph; 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":[0.001397239,0.001035271,0.001937282,0.007074636,0.001285238,0.004299067,0.002016588,0.001548915,0.003935435],"category_scores_gemma":[0.004642009,0.0008910971,0.0009685341,0.01090574,0.003029363,0.009552639,0.002583016,0.003008819,0.001222132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722193,"about_ca_system_score_gemma":0.001110465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008932772,"about_ca_topic_score_gemma":0.0006967364,"domain_scores_codex":[0.9986198,0.000309474,0.0001055192,0.0004393269,0.0004324343,0.00009348386],"domain_scores_gemma":[0.9963014,0.002394361,0.0002521562,0.0003560934,0.0004708629,0.0002250091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000651865,0.0002035343,0.001826097,0.002165581,0.00008208391,0.00009741665,0.0004948837,0.003799551,0.001247048,0.716114,0.009480393,0.2644242],"study_design_scores_gemma":[0.00001561259,0.00007336511,0.001302379,0.0003586676,0.00003344981,0.0007514995,0.0003899031,0.008855128,0.0007523249,0.9204647,0.06695273,0.00005019932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04905026,0.6081448,0.2704739,0.006576986,0.001197091,0.00008390876,0.0009019339,0.0004317352,0.06313941],"genre_scores_gemma":[0.3673087,0.4847443,0.1273601,0.002466898,0.006705242,0.0001735856,0.00158188,0.0003116435,0.009347705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007074636,"threshold_uncertainty_score":0.0131653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885101857384469,"score_gpt":0.2921779012327856,"score_spread":0.2633268826589409,"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."}}