{"id":"W4241564363","doi":"10.1002/9781118165409.indauth","title":"Author Index","year":2006,"lang":"en","type":"paratext","venue":"Wiley series in probability and statistics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Chapel; Index (typography); Library science; Valencia; Art history; Humanities; History; Art; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000916648,0.0007673195,0.001131435,0.0002725607,0.0002016282,0.0002262018,0.0003944254,0.0008906802,0.002073594],"category_scores_gemma":[0.0008708486,0.0008047905,0.0000643601,0.0004988273,0.001644057,0.0002757213,0.0003257012,0.001270379,0.003179838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004695157,"about_ca_system_score_gemma":0.0005502803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072786,"about_ca_topic_score_gemma":0.007369138,"domain_scores_codex":[0.9957841,0.0005099716,0.001204732,0.001122878,0.0005795546,0.0007987703],"domain_scores_gemma":[0.9977638,0.0004240664,0.0004372373,0.0009034745,0.00028537,0.0001860412],"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":[0.0003473452,0.0002837994,0.004399189,0.001971389,0.00004351345,0.00004541157,0.0004359993,0.0006705144,0.000006053449,0.02926448,0.9584082,0.004124075],"study_design_scores_gemma":[0.0006533632,0.0002549964,0.006748474,0.000585955,0.00006611559,0.00003368113,0.00007496736,0.0008469496,0.00001270311,0.1904856,0.7990934,0.001143791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01625371,0.02316879,0.1178385,0.001264147,0.01816215,0.01325087,0.4302786,0.0009930411,0.3787901],"genre_scores_gemma":[0.0164713,0.001872907,0.2756511,0.0002123968,0.001135213,0.00098793,0.02296472,0.0008104198,0.679894],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4073139,"threshold_uncertainty_score":0.9994403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166301693815552,"score_gpt":0.2807365245450109,"score_spread":0.2590735076068553,"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."}}