{"id":"W4237149507","doi":"10.1002/9780470072646.index","title":"Index","year":2006,"lang":"en","type":"paratext","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Index (typography); Computer science; Citation; Library science; World Wide Web; Information retrieval","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":[0.000630545,0.001551917,0.002100105,0.003133368,0.001460508,0.005622624,0.002028552,0.001898043,0.6453796],"category_scores_gemma":[0.004882851,0.0003774439,0.0005192952,0.006393474,0.0008134899,0.003660547,0.001534813,0.001669552,0.52141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784339,"about_ca_system_score_gemma":0.001575732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180608,"about_ca_topic_score_gemma":0.005543008,"domain_scores_codex":[0.9993475,0.0001255769,0.00003227026,0.0001043522,0.0003398369,0.00005035996],"domain_scores_gemma":[0.9984624,0.000498136,0.0000831468,0.0002352078,0.0004672227,0.0002538662],"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":[0.0000357668,0.00006854724,0.00009594008,0.0003151321,0.000006556152,0.00002045795,0.00001856539,0.0007354596,0.0002762672,0.01518134,0.851229,0.1320169],"study_design_scores_gemma":[0.00002466365,0.00002914348,0.0002849304,0.0002264444,0.0000106875,0.00006045964,0.00003340124,0.00248489,0.0002983708,0.02388918,0.9726443,0.00001356782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001284759,0.004800403,0.02128111,0.003391264,0.005398752,0.0004339261,0.01370663,0.002528141,0.9471751],"genre_scores_gemma":[0.006283383,0.00434885,0.01084133,0.000924198,0.001914554,0.0003895487,0.01035972,0.001233069,0.9637054],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3546204,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749928943819801,"score_gpt":0.2700847848111905,"score_spread":0.2525854953729925,"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."}}