{"id":"W4385791660","doi":"10.1017/9781009258227.013","title":"Reasoning with Uncertainty","year":2023,"lang":"en","type":"book-chapter","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; Generative grammar; Code (set theory); Implementation; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001960768,0.001163662,0.0008436117,0.001017155,0.001597183,0.007129853,0.001832189,0.002338168,0.04340937],"category_scores_gemma":[0.006861422,0.0007492105,0.001360014,0.001018806,0.004067427,0.008714391,0.003249915,0.004748124,0.01233685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002936079,"about_ca_system_score_gemma":0.00239715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333411,"about_ca_topic_score_gemma":0.003884464,"domain_scores_codex":[0.9979803,0.0005505562,0.0001408739,0.0004269994,0.0007815711,0.000119661],"domain_scores_gemma":[0.9980112,0.001187363,0.00009604609,0.0002542046,0.00038417,0.00006699473],"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":[0.0000177303,0.00001680146,0.0001547182,0.0002918113,0.00003362965,0.000176072,0.0006814636,0.003226542,0.0002463959,0.7345042,0.1768167,0.08383407],"study_design_scores_gemma":[0.000006264663,0.000007128412,0.0001038495,0.0002961362,0.00001037629,0.0001620151,0.0002410913,0.002799408,0.0002146666,0.5521152,0.4440266,0.00001718343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002495318,0.0296749,0.2553376,0.04360969,0.005169926,0.0001578488,0.002218562,0.001280356,0.6600558],"genre_scores_gemma":[0.1364987,0.0374837,0.1928775,0.01423109,0.005727069,0.0005134583,0.005534745,0.001191667,0.6059421],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04340937,"threshold_uncertainty_score":0.1452188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267971374999882,"score_gpt":0.2111011724017326,"score_spread":0.1784214586517338,"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."}}