{"id":"W2942315111","doi":"10.1613/jair.1.13225","title":"Graph Kernels: A Survey","year":2021,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Graph; Theoretical computer science; Data science","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":[0.005932336,0.0001313063,0.0002923237,0.0005245474,0.0002471808,0.0004011359,0.001673191,0.0000953419,0.00007247613],"category_scores_gemma":[0.002417294,0.000113768,0.0001952814,0.003884023,0.0002445156,0.0008178765,0.0004490283,0.001252211,0.00009820436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007678657,"about_ca_system_score_gemma":0.0005069221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003182423,"about_ca_topic_score_gemma":0.0001489597,"domain_scores_codex":[0.9954671,0.001229742,0.0008241069,0.0003450659,0.001472941,0.0006610096],"domain_scores_gemma":[0.9936244,0.001825964,0.000230737,0.0005942302,0.003416764,0.0003079031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000191096,0.0006307015,0.002183001,0.00002463211,0.0001033111,0.002795389,0.001025244,0.008257848,0.02388133,0.1759886,0.003962173,0.7809566],"study_design_scores_gemma":[0.00007061201,0.00073601,0.003380781,0.0001638076,0.000006068954,0.0007620552,0.0007063636,0.03056114,0.2816873,0.6793451,0.002210115,0.0003706135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0593299,0.001484775,0.936141,0.001601682,0.000964521,0.0000914292,0.000001964303,0.00002496145,0.0003597436],"genre_scores_gemma":[0.9697821,0.000918965,0.02864277,0.0001110994,0.0003663133,0.000002479239,8.875746e-7,0.00001520837,0.0001602534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9104521,"threshold_uncertainty_score":0.5440301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2937579756576601,"score_gpt":0.4530306973098932,"score_spread":0.1592727216522331,"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."}}