{"id":"W4404422782","doi":"10.6339/24-jds1134","title":"Rethinking Attention Weights as Bidirectional Coefficients","year":2024,"lang":"en","type":"article","venue":"Journal of Data Science","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; Ministry of Education, India; Institute for Catastrophic Loss Reduction","keywords":"Computer science; Statistics; Mathematics; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004344075,0.0001001261,0.0001245841,0.0006228109,0.0003994261,0.001324823,0.004584617,0.00003591792,0.00003646395],"category_scores_gemma":[0.0005199928,0.0000787032,0.00005763208,0.002487366,0.0003721486,0.01127643,0.0009043847,0.0003098761,0.0002833696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593997,"about_ca_system_score_gemma":0.0009407223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002296984,"about_ca_topic_score_gemma":0.000004929327,"domain_scores_codex":[0.9971682,0.00005583456,0.0004644907,0.0004930762,0.001498963,0.0003194142],"domain_scores_gemma":[0.998238,0.0001784307,0.0001930212,0.0007664149,0.000457187,0.0001669503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001984576,0.00025901,0.0006059245,0.00005146863,0.00004895112,0.0008319016,0.00331196,0.0005635715,0.1122908,0.6261635,0.006912866,0.2489402],"study_design_scores_gemma":[0.0001590607,0.0004804842,0.00184963,0.000878113,0.00003601585,0.003012277,0.0002879039,0.6947091,0.05573184,0.153194,0.08916653,0.0004949837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1279299,0.0007594249,0.8607247,0.002570993,0.005599337,0.00008168304,0.00000728474,0.00009932803,0.002227363],"genre_scores_gemma":[0.9493563,0.00009945274,0.04975957,0.0001745,0.0003268053,5.693646e-7,0.000002134343,0.000006503788,0.0002741364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8214264,"threshold_uncertainty_score":0.9997119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08340618000620546,"score_gpt":0.3567068886842551,"score_spread":0.2733007086780496,"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."}}