{"id":"W7117130738","doi":"10.1145/3756681.3756981","title":"From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions","year":2025,"lang":"","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Consistency (knowledge bases); Interpretability; Usability; Metadata; Exploratory analysis; Face (sociological concept)","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":[0.05011801,0.001207548,0.0009389074,0.006115235,0.003340938,0.004937805,0.001945198,0.00347239,0.002845753],"category_scores_gemma":[0.2651103,0.0007932278,0.0007835829,0.002984477,0.003124045,0.01034973,0.007811117,0.003198986,0.0005768802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133652,"about_ca_system_score_gemma":0.003200876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231787,"about_ca_topic_score_gemma":0.002753322,"domain_scores_codex":[0.9471277,0.03186069,0.004221797,0.003556084,0.0110102,0.002223478],"domain_scores_gemma":[0.6130961,0.3229898,0.02703721,0.007728581,0.02496531,0.004182957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000474773,0.0002381826,0.09962832,0.002196473,0.0001221657,0.002840981,0.7634484,0.001811072,0.009695659,0.01127687,0.01081899,0.09744813],"study_design_scores_gemma":[0.00008849415,0.0007300914,0.108383,0.003410774,0.0001836167,0.003518541,0.6441693,0.03054032,0.007778238,0.03036408,0.1701903,0.0006432293],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431881,0.001699616,0.03631868,0.007532332,0.0002049319,0.0006151613,0.0009701187,0.0008861431,0.008584949],"genre_scores_gemma":[0.9741815,0.0006319306,0.01957023,0.001567085,0.0001536296,0.0004794062,0.0007654192,0.0003252829,0.002325452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05011801,"threshold_uncertainty_score":0.2650526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543679847755715,"score_gpt":0.3395053042173989,"score_spread":0.1851373194418274,"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."}}