{"id":"W3214699411","doi":"10.29085/9781783302086.009","title":"Types of archival institution","year":2018,"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":"","keywords":"Institution; Convention; Democracy; State (computer science); Political science; Public administration; Library science; Law; Genealogy; History; Politics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001822073,0.0001710864,0.0001968489,0.0001678165,0.00009967411,0.00004290107,0.0001792654,0.000009128775,0.001514681],"category_scores_gemma":[0.000003508036,0.0001425879,0.0001578535,0.000002703258,0.001357582,0.00009993008,0.000106141,0.00009709174,0.0005379101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003610779,"about_ca_system_score_gemma":0.0000273168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006585126,"about_ca_topic_score_gemma":0.00001920688,"domain_scores_codex":[0.9993207,0.000005927925,0.0002136666,0.0001891756,0.0001581596,0.0001123341],"domain_scores_gemma":[0.9995903,0.00006922607,0.000123738,0.0001612761,0.00001539419,0.00004005969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002952499,0.00002952872,4.491765e-7,0.00008698457,0.0001336451,0.000004836485,0.00305515,0.000001420131,0.000002782622,0.9553945,0.002458122,0.03880304],"study_design_scores_gemma":[0.00004330603,0.00008965634,0.0001095211,0.0001257108,0.00002520071,7.65571e-7,0.00001167005,0.000005024233,0.000006239998,0.5205849,0.4789057,0.00009227809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002039136,0.00003513978,0.00006421675,0.00007592022,0.0003161401,0.0001236771,0.0003692902,0.00004044187,0.9987713],"genre_scores_gemma":[0.1104524,0.0000830168,0.0001609389,0.00007478094,0.0009328934,0.000004600296,0.0002494531,0.00002340313,0.8880185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4764476,"threshold_uncertainty_score":0.9993981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03385815222222519,"score_gpt":0.1945426756190598,"score_spread":0.1606845233968346,"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."}}