{"id":"W4255566302","doi":"10.4018/978-1-59904-941-0.ch131","title":"Explaining Algorithms","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Traverse; Computer science; Abstraction; Visualization; Focus (optics); Hierarchy; Theoretical computer science; Graph; Algorithm; Artificial intelligence","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":[0.001728949,0.001831607,0.0006169296,0.002123431,0.001010732,0.004220659,0.002690455,0.002371004,0.05417842],"category_scores_gemma":[0.006144623,0.0005913634,0.001933607,0.00159797,0.002198473,0.007414098,0.003099561,0.002670809,0.01132332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106302,"about_ca_system_score_gemma":0.001193363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154306,"about_ca_topic_score_gemma":0.001481009,"domain_scores_codex":[0.9984438,0.000498981,0.0001314025,0.0003489565,0.0004805861,0.00009633251],"domain_scores_gemma":[0.9974493,0.001691471,0.00009708436,0.0004831085,0.0002280611,0.00005095307],"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":[0.00004131023,0.00004122385,0.0003942976,0.0008356791,0.00004160046,0.0001727254,0.000967229,0.007386375,0.001491639,0.7124256,0.03741517,0.2387871],"study_design_scores_gemma":[0.00002472441,0.00003675763,0.0002277935,0.0003542474,0.00003255129,0.0005898338,0.0002010566,0.01859059,0.002605113,0.4442618,0.5330413,0.00003420879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002357515,0.003015252,0.9335316,0.002471474,0.0005171289,0.000174948,0.000724989,0.003051176,0.05415583],"genre_scores_gemma":[0.05321389,0.007018882,0.892006,0.0009651438,0.0005681127,0.0003130642,0.002820005,0.001341284,0.04175362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05417842,"threshold_uncertainty_score":0.1812449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742194145397162,"score_gpt":0.2852821823026135,"score_spread":0.2478602408486419,"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."}}