{"id":"W4297895366","doi":"10.1017/9781108878333.019","title":"Index","year":2022,"lang":"en","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Content (measure theory); Computer science; World Wide Web; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001489936,0.0001731395,0.0002491879,0.0001245008,0.002558475,0.00006313097,0.0005123315,0.0002237893,0.0005554489],"category_scores_gemma":[0.00001520922,0.0002055635,0.0001899688,0.00006255307,0.0004787642,0.00007193154,0.0005246981,0.0004676751,0.0001632627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088049,"about_ca_system_score_gemma":0.0004830578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665948,"about_ca_topic_score_gemma":0.0001166008,"domain_scores_codex":[0.9984923,0.0002901924,0.0001028419,0.0003341151,0.0004238333,0.0003566974],"domain_scores_gemma":[0.9992647,0.0000731464,0.0001313149,0.000271991,0.0001125965,0.0001463121],"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":[0.0000152465,0.000009938235,0.00000244775,0.00001654926,0.00006378131,0.00004846253,0.0007090247,0.00001913566,6.09844e-7,0.1904007,0.8084424,0.0002717154],"study_design_scores_gemma":[0.0002074618,0.00001474385,0.00002401854,0.00001312633,0.0000612073,9.959534e-7,0.002933389,0.000007079712,0.000002515039,2.751968e-7,0.9964867,0.0002485214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001245015,0.0003861083,0.00008009838,0.0001595598,0.002422526,0.0003455127,0.000504114,0.00006720159,0.9959104],"genre_scores_gemma":[0.004173093,0.0004530972,0.000009433024,0.00007513097,0.0005965987,0.000002489605,0.00009171349,0.00001762322,0.9945808],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1904005,"threshold_uncertainty_score":0.9987401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494476916847034,"score_gpt":0.2550470942392196,"score_spread":0.2301023250707492,"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."}}