{"id":"W4205838229","doi":"10.31274/archivalissues.11089","title":"Archival Futures. Edited by Caroline Brown. [Review]","year":2019,"lang":"en","type":"article","venue":"Archival issues","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Art history; History; Art; Economics; Financial economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146568,0.001881431,0.001579507,0.004311072,0.000751287,0.003146026,0.001996131,0.002177943,0.03714111],"category_scores_gemma":[0.00343611,0.0009273973,0.00122185,0.005162617,0.0008522259,0.00399445,0.001820608,0.004622095,0.02038517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709668,"about_ca_system_score_gemma":0.005667607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008634744,"about_ca_topic_score_gemma":0.0184635,"domain_scores_codex":[0.9993063,0.000129176,0.00008349547,0.0001031661,0.0003010248,0.0000768466],"domain_scores_gemma":[0.9984641,0.0005809302,0.0002168981,0.0000643216,0.0005306295,0.0001431395],"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":[0.0000309328,0.0000203925,0.00007104654,0.008932478,0.00004171539,0.0001089067,0.0001340622,0.000126716,0.0001635707,0.002544891,0.7639983,0.2238269],"study_design_scores_gemma":[0.00000892887,0.00001258439,0.0003456162,0.004346911,0.0000170781,0.0002283018,0.00007192706,0.00001734701,0.00002334411,0.0008312524,0.9940885,0.000008239424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003765992,0.986129,0.0001545553,0.004114098,0.003497559,0.00002542226,0.0002373262,0.00003652022,0.005767851],"genre_scores_gemma":[0.0006920898,0.9719855,0.0004389347,0.004281426,0.002402982,0.00008564939,0.0004861447,0.00003339741,0.01959388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03714111,"threshold_uncertainty_score":0.1242494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622902469494247,"score_gpt":0.2257067370172821,"score_spread":0.2094777123223396,"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."}}