{"id":"W4387592341","doi":"10.1017/9781316718636.023","title":"Appendices","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Database","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":[0.0008794462,0.001054094,0.001049359,0.006269032,0.001574,0.003515467,0.001305179,0.001099341,0.7606927],"category_scores_gemma":[0.0146974,0.0004582567,0.000692483,0.005819405,0.0003898736,0.002422355,0.001716535,0.001663261,0.5924523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000647,"about_ca_system_score_gemma":0.002227123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006934789,"about_ca_topic_score_gemma":0.006890822,"domain_scores_codex":[0.9989929,0.0001244165,0.0001308601,0.0001566348,0.0005250205,0.00007011424],"domain_scores_gemma":[0.9910122,0.001714752,0.000507354,0.0005946996,0.005681473,0.0004894594],"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":[0.00001196545,0.00000900022,0.00003493398,0.0001625036,0.000001262386,0.00003024336,0.00001357589,0.00005291661,0.0000286039,0.001189505,0.9740907,0.02437477],"study_design_scores_gemma":[0.000004925,0.000007669531,0.0001924373,0.0002291435,0.000001852122,0.00005032855,0.00002068543,0.00001744962,0.00003588494,0.001273099,0.9981615,0.000005042172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00086457,0.01502537,0.004803536,0.01860178,0.03794375,0.001117942,0.1185338,0.004039782,0.7990696],"genre_scores_gemma":[0.002821917,0.009026927,0.002405638,0.003749916,0.007179553,0.0005900901,0.05735286,0.001127522,0.9157455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2393073,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136026324100021,"score_gpt":0.2454266128243795,"score_spread":0.2040663495833793,"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."}}