{"id":"W4318965895","doi":"10.1017/9781108937443.012","title":"Authenticity","year":2022,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Content (measure theory); World Wide Web; Information retrieval; Internet privacy; Mathematics","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":[0.002073859,0.0008573744,0.0005804166,0.003386495,0.003121149,0.00902062,0.001592931,0.001998214,0.420416],"category_scores_gemma":[0.01223218,0.0003622344,0.0004661557,0.002595195,0.001629884,0.008344984,0.004711251,0.00283983,0.3060319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002863426,"about_ca_system_score_gemma":0.002400114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746471,"about_ca_topic_score_gemma":0.001770917,"domain_scores_codex":[0.9960601,0.0007532287,0.0002208983,0.0003946751,0.002315226,0.0002559422],"domain_scores_gemma":[0.9942636,0.0008721688,0.0002166673,0.001140513,0.00304031,0.0004667339],"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":[0.00001889256,0.00001443016,0.00004222241,0.0002102355,0.000001631596,0.00008296846,0.0006795619,0.00005557509,0.00022247,0.04688489,0.8624116,0.08937551],"study_design_scores_gemma":[6.013241e-7,0.00000249524,0.00002119795,0.00004993417,3.469586e-7,0.00003349086,0.0000705661,0.000005682225,0.00003785353,0.001042501,0.9987337,0.000001538666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003784522,0.003105093,0.002425871,0.00720802,0.006310003,0.0001499735,0.001131639,0.0007926361,0.9784984],"genre_scores_gemma":[0.005569045,0.002946449,0.001034897,0.001667792,0.002040461,0.00009854699,0.001362227,0.0006005836,0.9846801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.420416,"threshold_uncertainty_score":0.8267062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465101703017249,"score_gpt":0.2247137814418811,"score_spread":0.2000627644117086,"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."}}