{"id":"W4400909954","doi":"10.1109/icde60146.2024.00027","title":"Graph Contrastive Learning for Truth Inference","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Inference; Artificial intelligence; Graph; Natural language processing; Theoretical computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005087595,0.00236734,0.001759265,0.00330854,0.001488466,0.002114164,0.00502462,0.003318349,0.005062148],"category_scores_gemma":[0.02759852,0.001070744,0.001831679,0.002248213,0.003503412,0.005556516,0.003813963,0.005715665,0.001762389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933165,"about_ca_system_score_gemma":0.002128808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006001743,"about_ca_topic_score_gemma":0.01143248,"domain_scores_codex":[0.9961467,0.001361424,0.0001125256,0.001552458,0.0006396772,0.0001871689],"domain_scores_gemma":[0.9879753,0.007569789,0.0008605327,0.002229437,0.00103756,0.0003272787],"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":[0.0003985529,0.0002858117,0.003376488,0.0005245879,0.0002385738,0.000348322,0.0005662829,0.5336732,0.006239729,0.149942,0.01643233,0.2879743],"study_design_scores_gemma":[0.00002475817,0.00003302363,0.0001802165,0.00003136191,0.00001882953,0.00003872141,0.0000318958,0.8452132,0.001815095,0.1505164,0.002082817,0.00001365629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004691363,0.0003049089,0.9919017,0.0003570995,0.00004888225,0.00006397202,0.0002949928,0.001338477,0.000998662],"genre_scores_gemma":[0.3913317,0.000521419,0.5978301,0.000945367,0.0002878355,0.000365557,0.003820111,0.0008479203,0.004050021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006001743,"threshold_uncertainty_score":0.02690613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692493356265157,"score_gpt":0.2879953825098143,"score_spread":0.2710704489471628,"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."}}