{"id":"W4389920464","doi":"10.1093/oxfordhb/9780198829324.013.0001","title":"Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"Archives","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council","keywords":"Metaphor; Set (abstract data type); Object (grammar); Power (physics); Sociology; History; Computer science; Linguistics; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008697801,0.0008732058,0.0006141168,0.001472745,0.002399968,0.007045892,0.001956196,0.002910802,0.5577904],"category_scores_gemma":[0.003466733,0.0003210855,0.0006447742,0.001445533,0.00088679,0.004124487,0.003651102,0.00257569,0.3625073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735282,"about_ca_system_score_gemma":0.002909614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438994,"about_ca_topic_score_gemma":0.003277195,"domain_scores_codex":[0.9986585,0.0001780634,0.00008007245,0.0003236344,0.0005893768,0.0001701986],"domain_scores_gemma":[0.9987323,0.0001608789,0.00005578409,0.0001896128,0.0006172643,0.0002441154],"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":[0.00003818143,0.00004724635,0.0002703188,0.0002754821,0.000003840689,0.0001405598,0.0005271448,0.0001019086,0.0002893465,0.05771618,0.8268462,0.1137436],"study_design_scores_gemma":[0.000001664118,0.000006428765,0.0001157789,0.0000888623,7.001086e-7,0.00004366568,0.0001018514,0.00001331006,0.00003615154,0.002045491,0.9975436,0.000002400115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008880929,0.003673198,0.002628546,0.01139247,0.008865689,0.0001766545,0.003679789,0.0008526785,0.9678429],"genre_scores_gemma":[0.007537376,0.003472901,0.002046475,0.003755232,0.002164584,0.0001733932,0.004003125,0.0004314828,0.9764156],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4422096,"threshold_uncertainty_score":0.6307583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341005529229295,"score_gpt":0.1842437785699521,"score_spread":0.1501432256470226,"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."}}