{"id":"W4362633445","doi":"10.1017/9781108597135.012","title":"Index","year":2023,"lang":"en","type":"paratext","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":"Index (typography); Content (measure theory); Computer science; World Wide Web; Mathematics","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":[0.0008944605,0.0009867591,0.0009140008,0.007394249,0.001236268,0.004759345,0.001296678,0.0008977468,0.7458124],"category_scores_gemma":[0.008419193,0.0004051116,0.0005245149,0.00798906,0.0002927969,0.002971553,0.001514501,0.001126299,0.6587729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137699,"about_ca_system_score_gemma":0.002862972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00787138,"about_ca_topic_score_gemma":0.006964712,"domain_scores_codex":[0.9988495,0.0001023112,0.000175903,0.0001299133,0.0006483303,0.00009401683],"domain_scores_gemma":[0.9940856,0.0006715143,0.0003460385,0.0003918022,0.003952031,0.0005530579],"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":[0.00001459236,0.000009368619,0.00006454238,0.0002652607,0.000001276755,0.00001597548,0.0000155446,0.00003651304,0.00006984595,0.0007642186,0.9603316,0.03841121],"study_design_scores_gemma":[0.000003396411,0.000007825737,0.0003294389,0.0001669703,0.000001510925,0.0000148593,0.0000228424,0.00001252532,0.00004482513,0.0004126918,0.9989795,0.000003595339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007343309,0.006650568,0.002010366,0.008865544,0.01156708,0.001087432,0.1757593,0.003441459,0.7898839],"genre_scores_gemma":[0.002348933,0.007303375,0.001281123,0.001848271,0.003187301,0.000538896,0.08576635,0.0008956917,0.89683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2541876,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352885612726585,"score_gpt":0.2688387244893125,"score_spread":0.2353098683620466,"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."}}