{"id":"W3034674099","doi":"10.1609/aaai.v35i11.17168","title":"Implicit Kernel Attention","year":2021,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Theoretical computer science; Transformer; Artificial intelligence; Machine learning","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":[0.0002232866,0.0002070019,0.0002323551,0.00007643337,0.0001956288,0.0002336858,0.001714467,0.00008766354,0.00004617824],"category_scores_gemma":[0.0002464733,0.0001634245,0.0001721079,0.001100485,0.0001739024,0.000530435,0.0005941479,0.0003312223,0.00008733246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003434426,"about_ca_system_score_gemma":0.00007257306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007722242,"about_ca_topic_score_gemma":0.000007379945,"domain_scores_codex":[0.9980744,0.00001793839,0.0004753104,0.000593324,0.0004648488,0.0003742125],"domain_scores_gemma":[0.998246,0.00007668713,0.0003209421,0.0004231507,0.0008424068,0.00009085799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001199771,0.0000731129,0.0002583869,0.00001377495,0.000008662031,0.000001477305,0.0001376026,0.00007328174,0.1270646,0.8171074,0.0001457198,0.05510397],"study_design_scores_gemma":[0.0000210521,0.00007296733,0.0008973572,0.0001397184,0.000007899193,0.00001823397,0.0001624806,0.03261358,0.5431508,0.4225695,0.0001469148,0.0001995283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.529206,0.000184306,0.4035455,0.02173357,0.002620984,0.0008966402,0.00001013326,0.0005244241,0.04127844],"genre_scores_gemma":[0.9924958,0.00005882555,0.006372822,0.0004461541,0.00007398003,0.00001704621,5.364813e-7,0.00001188559,0.0005229515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4632898,"threshold_uncertainty_score":0.6664258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790888214845907,"score_gpt":0.2948773877455511,"score_spread":0.236968505597092,"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."}}