{"id":"W4385895994","doi":"10.1017/9781009258227.031","title":"Index","year":2023,"lang":"en","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Implementation; Code (set theory); Generative grammar; Artificial intelligence; Index (typography); Space (punctuation); Data science; Software engineering; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005171431,0.001254899,0.001185196,0.003004994,0.001580003,0.007213735,0.001675785,0.001345689,0.6967076],"category_scores_gemma":[0.005049056,0.0005425315,0.0008088386,0.003977941,0.0006589383,0.006153455,0.002348392,0.002758601,0.6788104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215213,"about_ca_system_score_gemma":0.00163961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004142381,"about_ca_topic_score_gemma":0.005954051,"domain_scores_codex":[0.9989767,0.00007476938,0.00005912816,0.0002192215,0.0006023128,0.00006782452],"domain_scores_gemma":[0.9979813,0.0002383776,0.00008581362,0.0002538358,0.001205929,0.0002348397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008057275,0.00001082021,0.00005710024,0.0001137835,0.000001968072,0.00002079187,0.00004750881,0.00005227594,0.0001258715,0.002979159,0.939648,0.05693465],"study_design_scores_gemma":[0.000001249272,0.000004211795,0.0001021136,0.00006807159,0.000001138076,0.00003597361,0.00002433105,0.00002359798,0.00004246601,0.0008435859,0.9988497,0.000003456621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004287589,0.004806864,0.003854218,0.004920437,0.01574236,0.0001335202,0.009623739,0.00269766,0.9577923],"genre_scores_gemma":[0.0008265707,0.00165128,0.0009991796,0.0009927469,0.001101089,0.00004469109,0.004160744,0.0008865488,0.9893371],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3032924,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818936267099429,"score_gpt":0.243944677715922,"score_spread":0.2057553150449278,"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."}}