{"id":"W4399370999","doi":"10.7155/jgaa.v28i1.2933","title":"Distance-Preserving Graph Compression Techniques","year":2024,"lang":"en","type":"article","venue":"Journal of Graph Algorithms and Applications","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Compression (physics); Graph; Theoretical computer science; Materials science; Composite material","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":[0.0003294052,0.0001431427,0.000201669,0.0003229775,0.0002522568,0.0004266799,0.0007515001,0.00006520752,0.000008870595],"category_scores_gemma":[0.000006625787,0.0001035427,0.0001258156,0.000700173,0.00007515244,0.0009956749,0.0002745465,0.0002951398,0.000002851051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001607633,"about_ca_system_score_gemma":0.00004572243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001139432,"about_ca_topic_score_gemma":0.00000102936,"domain_scores_codex":[0.9987844,0.00003260363,0.0004135951,0.0002715961,0.0003196982,0.0001780663],"domain_scores_gemma":[0.9990243,0.00009524761,0.0001692194,0.0003930391,0.0001561891,0.0001620568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003660846,0.0000809899,0.00006683199,0.00005893923,0.00003724749,0.00002708703,0.0001422628,0.00001035816,0.0017859,0.07742018,0.008637824,0.9117287],"study_design_scores_gemma":[0.000256494,0.0001802594,0.001169336,0.0006501028,0.0000456393,0.0004390586,0.00009951044,0.04291753,0.002696195,0.214971,0.7362071,0.0003677314],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002153122,0.008483145,0.9891365,0.001004467,0.0002103638,0.0001608957,0.00001584769,0.000131409,0.0006420269],"genre_scores_gemma":[0.1158462,0.00761428,0.8745346,0.0002620434,0.001297054,0.0001347422,0.00001616629,0.00004194157,0.0002529436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.911361,"threshold_uncertainty_score":0.4222351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124410541805225,"score_gpt":0.2754500346949486,"score_spread":0.2630089805144261,"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."}}