{"id":"W2077761942","doi":"10.1016/j.jcss.2005.02.003","title":"Kernels in planar digraphs","year":2005,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Digraph; Combinatorics; Kernel (algebra); Vertex (graph theory); Mathematics; Planar; Set (abstract data type); Discrete mathematics; Computer science; Graph","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":[0.002097901,0.00008757993,0.0002294959,0.0005322335,0.0001188039,0.0002457065,0.001086737,0.00002707054,0.000001039116],"category_scores_gemma":[0.00000914155,0.00006008318,0.0000577009,0.0006877689,0.0001553989,0.001191697,0.0001039526,0.0001458703,0.000004127549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146318,"about_ca_system_score_gemma":0.00007270735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003341085,"about_ca_topic_score_gemma":0.000005196044,"domain_scores_codex":[0.998458,0.0001539282,0.0004185204,0.0001913244,0.0005284945,0.0002497613],"domain_scores_gemma":[0.9992625,0.0001992567,0.0001904939,0.0001420246,0.0000833548,0.0001224366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003899661,0.000147538,0.04476858,0.0001006519,0.00003618443,0.0003438863,0.004186722,0.01325051,0.0004485306,0.6426665,0.0009669395,0.293045],"study_design_scores_gemma":[0.002914147,0.002331775,0.0775703,0.001239178,0.000009812607,0.006573228,0.001370464,0.8564266,0.001099673,0.04192662,0.007749173,0.0007890314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2615792,0.001411235,0.7338789,0.0009080859,0.0004308627,0.000083146,4.049109e-7,0.00002338045,0.001684776],"genre_scores_gemma":[0.9257479,0.00003058634,0.07396845,0.00007190362,0.0001619735,6.278316e-7,1.484899e-8,0.000001889241,0.00001661955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431761,"threshold_uncertainty_score":0.2450121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316245338529533,"score_gpt":0.2916205874945978,"score_spread":0.2684581341093025,"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."}}