{"id":"W6992927739","doi":"","title":"Neural Graph Reasoning:A Survey on Complex Logical Query Answering","year":2024,"lang":"en","type":"article","venue":"VU Research Portal","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Graph; Question answering; Logical consequence; Task (project management); Graph database; Taxonomy (biology); Modalities; Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849286,0.001088947,0.001194274,0.003369285,0.0005451613,0.002428565,0.002636143,0.001427318,0.00459409],"category_scores_gemma":[0.008847184,0.00054594,0.0009458379,0.005110613,0.0008935975,0.006359971,0.001620661,0.001713629,0.001383581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752086,"about_ca_system_score_gemma":0.001771999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006595137,"about_ca_topic_score_gemma":0.00613323,"domain_scores_codex":[0.9984842,0.0004175291,0.0001268922,0.0003599013,0.0005359841,0.00007556571],"domain_scores_gemma":[0.9955168,0.003163907,0.0001204864,0.0004059754,0.0007033087,0.0000896038],"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":[0.0001400425,0.0002127033,0.002451379,0.002738669,0.0001598489,0.0001042784,0.0003010323,0.047122,0.001399729,0.07965321,0.0298942,0.8358228],"study_design_scores_gemma":[0.00003921635,0.0001714938,0.001984409,0.0009009598,0.0001919056,0.0005172681,0.0004458582,0.4755268,0.003321909,0.356592,0.1602266,0.00008169733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01546287,0.1913074,0.7611461,0.006769198,0.0004719228,0.0003374157,0.001650322,0.002390673,0.02046423],"genre_scores_gemma":[0.2432219,0.2568627,0.4774334,0.003963023,0.001841036,0.0004866425,0.006201888,0.0007169463,0.009272442],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006595137,"threshold_uncertainty_score":0.01536876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728915347089046,"score_gpt":0.4101658767904079,"score_spread":0.2372743420815034,"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."}}