{"id":"W4386089143","doi":"10.1017/9781108866477.013","title":"Index","year":2023,"lang":"pl","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Reformation and Early Modern Christianity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Index (typography); Environmental science; Statistics; 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":[0.0009616168,0.0009865349,0.0008538605,0.007966851,0.00153925,0.006504538,0.001290856,0.0009678283,0.7492927],"category_scores_gemma":[0.008853002,0.0004104862,0.0004899956,0.01023218,0.0004112849,0.003827122,0.001824648,0.001471094,0.6555893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586148,"about_ca_system_score_gemma":0.003154489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007560651,"about_ca_topic_score_gemma":0.006852644,"domain_scores_codex":[0.9987754,0.00009698248,0.0001523276,0.0001404716,0.0007234559,0.0001114278],"domain_scores_gemma":[0.9939705,0.000594572,0.0003250611,0.0004387728,0.004043674,0.0006274051],"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":[0.00001377378,0.000008691656,0.00006217617,0.000253063,0.000001065399,0.00001455037,0.00002579798,0.00004006337,0.00007839383,0.001255034,0.9590874,0.03915998],"study_design_scores_gemma":[0.00000276971,0.000007764372,0.0002962022,0.0001559327,0.000001222793,0.00001198168,0.00003568118,0.00001203837,0.00004444238,0.0006145763,0.9988139,0.000003392986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006968878,0.0063593,0.002248315,0.009775633,0.01532214,0.0009064676,0.1137322,0.003323519,0.8476355],"genre_scores_gemma":[0.002142519,0.005626407,0.0009511944,0.001195098,0.003658588,0.0004083632,0.04562325,0.0007958054,0.9395989],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2507073,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346184823591587,"score_gpt":0.2176978111261709,"score_spread":0.1742359628902551,"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."}}