{"id":"W2585451022","doi":"10.1016/j.dam.2016.08.016","title":"Characterizations of (<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" display=\"inline\" overflow=\"scroll\"><mml:mn>4</mml:mn><mml:msub><mml:mrow><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>, <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si2.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:math>, <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si3.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub></mml:math>)-free graphs","year":2016,"lang":"lv","type":"article","venue":"Discrete Applied Mathematics","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Mathematics; Graph; Induced subgraph; Algorithm; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001912755,0.001686812,0.0008423947,0.004267067,0.002117031,0.008721677,0.002185832,0.002166424,0.0931231],"category_scores_gemma":[0.009572835,0.0007783414,0.001826919,0.004501413,0.002086153,0.01017133,0.003470188,0.00269065,0.05768543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292407,"about_ca_system_score_gemma":0.002518151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009027785,"about_ca_topic_score_gemma":0.009519855,"domain_scores_codex":[0.9964025,0.000405813,0.0004425466,0.0009632026,0.001141535,0.0006443754],"domain_scores_gemma":[0.9933313,0.001513337,0.0008204905,0.001322387,0.002550303,0.0004622655],"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":[0.0003684075,0.0002313157,0.002909635,0.0008010953,0.00007226533,0.0007405328,0.002054121,0.006747022,0.0113715,0.6559736,0.2075025,0.1112281],"study_design_scores_gemma":[0.0000580004,0.00009931697,0.002638662,0.000339178,0.00006843451,0.001003109,0.001230819,0.03163157,0.01431474,0.2755501,0.6729263,0.0001397604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03078349,0.00130729,0.58689,0.004178978,0.001003838,0.0006839483,0.03118129,0.01932973,0.3246414],"genre_scores_gemma":[0.315236,0.002973349,0.2596032,0.003292144,0.001207111,0.002264999,0.09553509,0.01528073,0.3046075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0931231,"threshold_uncertainty_score":0.3115278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923848334007761,"score_gpt":0.2523574263767693,"score_spread":0.2331189430366917,"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."}}