{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001905772,0.0003917018,0.0004206454,0.0004324288,0.0003408162,0.0002883955,0.003407045,0.0004389371,0.00001205616],"category_scores_gemma":[0.00004072701,0.0004829485,0.0002156435,0.0001858056,0.0001750401,0.0003700781,0.00195517,0.0006499523,0.007733764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873036,"about_ca_system_score_gemma":0.0003303954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577097,"about_ca_topic_score_gemma":0.000009362469,"domain_scores_codex":[0.9975308,0.000169963,0.000242338,0.0009442325,0.0004404695,0.0006722406],"domain_scores_gemma":[0.9976406,0.0002263941,0.0002224793,0.001415247,0.000249281,0.0002459632],"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":[0.00001103589,0.00001280247,6.505473e-7,0.00005696237,0.00004929799,0.0003480037,0.00009282359,0.0001386121,0.00004280262,0.2270128,0.7705757,0.001658567],"study_design_scores_gemma":[0.0001194343,0.00003944059,0.000009845592,0.00009185589,0.0000199451,0.00000818203,0.00009480958,0.006200149,0.004086151,0.000004628374,0.9888064,0.0005191026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008804913,0.0000823024,0.1584788,0.00006140082,0.003768596,0.0002985286,0.00008510376,0.0004426642,0.8366945],"genre_scores_gemma":[0.001406097,0.0001344458,0.0003911331,0.0001026582,0.0002640511,0.000002887557,0.0000366747,0.00004429687,0.9976178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2270081,"threshold_uncertainty_score":0.9997622,"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."}}