{"id":"W165581539","doi":"","title":"On the edge-residual number and the line completion number of a graph.","year":2002,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Residual; Combinatorics; Enhanced Data Rates for GSM Evolution; Graph; Edge contraction; Line graph; Algorithm; Voltage graph; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006307814,0.0001224227,0.0001741561,0.00002991527,0.0002283964,0.00007414017,0.0004702158,0.00006485439,0.00007838422],"category_scores_gemma":[0.00009869468,0.0000663992,0.00006501166,0.0003854124,0.0002963313,0.00008909255,0.0001577751,0.0002343984,0.0001287279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000562618,"about_ca_system_score_gemma":0.00000697322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006076981,"about_ca_topic_score_gemma":0.00000179451,"domain_scores_codex":[0.9988304,0.0002060108,0.0002311472,0.000229671,0.0003240127,0.0001787568],"domain_scores_gemma":[0.998516,0.0006318146,0.0001154106,0.0005779144,0.0001111235,0.00004773401],"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":[0.000009375359,0.00008940456,0.0006581016,0.000004098584,0.00001732927,0.000001209201,0.0004495214,0.000008642638,0.00004891249,0.9852898,0.01307869,0.0003449715],"study_design_scores_gemma":[0.001385081,0.00004791784,0.0005867802,0.00002770946,0.00001047523,0.00001621082,0.00001556316,0.006270505,0.0003892325,0.9908347,0.0003239577,0.00009193665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847478,0.0001751972,0.0001621492,0.007792679,0.0008852609,0.0002167258,0.000001706924,0.00007549083,0.005943011],"genre_scores_gemma":[0.9985079,0.00004281189,0.0003734043,0.0008527788,0.000002226908,0.00001394191,7.358639e-7,0.000007106,0.0001990942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01376012,"threshold_uncertainty_score":0.270768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814577112471864,"score_gpt":0.2322506072911913,"score_spread":0.2141048361664726,"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."}}