{"id":"W4306250647","doi":"10.1002/pra2.663","title":"Information Resilient Society in an <scp>AI</scp> World—Is <scp>XAI</scp> Sufficient?","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Independence (probability theory); Field (mathematics); Neutrality; Public relations; Business; Knowledge management; Computer science; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004349819,0.0001587087,0.0002096398,0.001484097,0.00123632,0.0006295514,0.002146315,0.0001337449,0.000001175369],"category_scores_gemma":[0.003798353,0.0001473126,0.00007627417,0.008402008,0.0002780339,0.01304469,0.001122385,0.0003898808,0.00001289136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008467151,"about_ca_system_score_gemma":0.0003241687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002236831,"about_ca_topic_score_gemma":0.000008625031,"domain_scores_codex":[0.9969521,0.00001235388,0.0007927718,0.000255491,0.00138223,0.0006050445],"domain_scores_gemma":[0.9957538,0.0002114262,0.001262559,0.0002731782,0.002426919,0.00007218272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003708387,0.0001341888,0.06449342,0.00008200271,0.00001596626,4.303975e-8,0.04906153,0.0007486834,0.00414788,0.8504344,0.02075229,0.01012589],"study_design_scores_gemma":[0.001050366,0.0006738627,0.0210192,0.00004858268,0.00002505826,0.00001404836,0.0918113,0.2670525,0.2534485,0.06513931,0.2994928,0.0002244694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820286,0.00002470158,0.002960577,0.005449475,0.000479547,0.001180743,0.00003422399,0.0002786785,0.007563444],"genre_scores_gemma":[0.9957917,0.0000145754,0.001832235,0.00180579,0.00001296589,0.000221682,0.000005834791,0.000004867725,0.0003103987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7852951,"threshold_uncertainty_score":0.9508899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057743177266219,"score_gpt":0.2498255874293769,"score_spread":0.2392481556567147,"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."}}