{"id":"W4282970988","doi":"10.1017/9781009053655.012","title":"Index","year":2022,"lang":"en","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Index (typography); Mathematics; Computer science; World Wide Web","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":[0.001033376,0.001193286,0.001217086,0.01190708,0.001592622,0.00567264,0.001513016,0.001080165,0.8296749],"category_scores_gemma":[0.01128889,0.0004611966,0.0006017467,0.01310937,0.0005239489,0.004640148,0.002257749,0.001348103,0.7878448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002477747,"about_ca_system_score_gemma":0.002613416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006034343,"about_ca_topic_score_gemma":0.005590039,"domain_scores_codex":[0.9985297,0.0001134559,0.0001869449,0.0001863148,0.0008680029,0.0001155662],"domain_scores_gemma":[0.9939061,0.0008456486,0.0003506151,0.0006409503,0.003537477,0.0007192824],"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":[0.00001415846,0.00001600992,0.0001251517,0.0003230781,0.000002062729,0.00001875792,0.00004326804,0.00004933859,0.0001495983,0.002375891,0.9482967,0.04858589],"study_design_scores_gemma":[0.000002005425,0.000006064014,0.0002720315,0.0001163504,0.00000143046,0.00002050491,0.00002904355,0.00001751748,0.00005487858,0.0008133363,0.9986632,0.000003610747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005751876,0.002903888,0.003133261,0.003638576,0.005058004,0.0006283034,0.1545842,0.004190431,0.8252883],"genre_scores_gemma":[0.00151112,0.003976761,0.001778057,0.001067201,0.001447157,0.0003242263,0.07487747,0.001628525,0.9133894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1703251,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060379322728132,"score_gpt":0.2665410150499924,"score_spread":0.2359372218227111,"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."}}