{"id":"W4413123235","doi":"10.1002/9781394240821.ch11","title":"Explainability of Algorithms","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Algorithm","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":[0.0007334247,0.0002471572,0.0004328584,0.0002262671,0.00006439925,0.0001115208,0.002884155,0.000261786,0.00006599433],"category_scores_gemma":[0.0002563887,0.0002365604,0.0002130418,0.000452124,0.0001125242,0.0002315081,0.004405275,0.0004223881,0.0000407888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253898,"about_ca_system_score_gemma":0.000555677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099447,"about_ca_topic_score_gemma":0.00006336185,"domain_scores_codex":[0.997719,0.0001279172,0.0006206348,0.0008372611,0.0003663888,0.000328816],"domain_scores_gemma":[0.9967355,0.0002472531,0.000207379,0.002252104,0.0004759886,0.00008178304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007450798,0.0003260531,0.000501896,0.0006680051,0.00006600132,0.00001896359,0.002147411,0.006285548,0.0001200008,0.850415,0.003054496,0.1363892],"study_design_scores_gemma":[0.00006610479,0.00006351453,0.0003291236,0.0002051886,0.00001641464,0.000002169352,0.0003088462,0.2544293,0.2183944,0.520303,0.005328767,0.0005531771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002938603,0.0001598242,0.9405296,0.001139719,0.001253668,0.000422574,0.00001181869,0.0002739707,0.05327024],"genre_scores_gemma":[0.4393294,0.0001060856,0.5479133,0.0005000709,0.0001409023,0.0001895199,0.00001143055,0.00001497468,0.0117943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4363908,"threshold_uncertainty_score":0.9646652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996740359971307,"score_gpt":0.3195358983923987,"score_spread":0.2795684947926856,"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."}}