{"id":"W3006053005","doi":"10.48550/arxiv.1911.06962","title":"Inductive Relation Prediction by Subgraph Reasoning","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Relation (database); Inductive reasoning; Mathematics; Computer science; Artificial intelligence; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001659167,0.0003272686,0.0002831646,0.0002912068,0.0001707475,0.00009118531,0.001210265,0.0004705591,0.000007063972],"category_scores_gemma":[0.00002782357,0.0003987704,0.0001880722,0.00096688,0.00008924041,0.001121569,0.001192441,0.001110876,0.00005097181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697503,"about_ca_system_score_gemma":0.00008568198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000615261,"about_ca_topic_score_gemma":0.000007288961,"domain_scores_codex":[0.9977604,0.0001678547,0.0002066385,0.001373506,0.0001293167,0.0003622846],"domain_scores_gemma":[0.9980032,0.0001034463,0.0003993619,0.001207934,0.0001546056,0.0001314824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003865603,0.00005911248,0.02997504,0.00003098146,0.0001034629,0.00005904136,0.0002368879,0.785209,0.0001309189,0.1809594,0.002082546,0.001114986],"study_design_scores_gemma":[0.0004713668,0.00008727206,0.009489422,0.00016168,0.00005676352,0.000005368493,0.00004143115,0.9021975,0.0001441796,0.08614918,0.0006463373,0.0005494659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1875885,0.0001047647,0.8085555,0.00005112989,0.001226368,0.0003635382,0.00002140527,0.0004218027,0.001666952],"genre_scores_gemma":[0.9942458,0.000233723,0.004130384,0.00006338395,0.00008202206,0.000001380273,0.00006785456,0.00002349222,0.00115201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8066572,"threshold_uncertainty_score":0.9998464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719935338676308,"score_gpt":0.171996814774414,"score_spread":0.1347974613876509,"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."}}