{"id":"W2900853539","doi":"10.1353/vcr.2017.0030","title":"Indexes: Periodical Parts and the Bookish Afterlife","year":2017,"lang":"en","type":"article","venue":"Victorian review","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Afterlife; Index (typography); Reading (process); Periodical literature; History; Order (exchange); Content (measure theory); Set (abstract data type); Hierarchy; Period (music); Literature; Aesthetics; Art; Computer science; Law; Mathematics; Library science; World Wide Web; Political 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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001121772,0.00008977024,0.0002210017,0.0000127534,0.002126876,0.004715888,0.000653277,0.00002829241,0.0004484706],"category_scores_gemma":[0.000678857,0.00005141991,0.00006974101,0.000007229765,0.0007383979,0.0008146618,0.0001633948,0.0002340619,0.00006926481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009778931,"about_ca_system_score_gemma":0.00003442259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142159,"about_ca_topic_score_gemma":0.0003067956,"domain_scores_codex":[0.9992246,0.0001850375,0.0001995493,0.0001217629,0.0001531137,0.0001159622],"domain_scores_gemma":[0.9986708,0.00008098096,0.0001582952,0.0009535745,0.00007339026,0.00006302597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000152932,0.00002451564,0.001371487,0.0004859295,0.00003976467,0.000002477578,0.0173284,5.305985e-9,4.724447e-7,0.8990616,0.05209896,0.02957109],"study_design_scores_gemma":[0.0002700942,0.000008926137,0.0009358278,0.0007799853,0.00003637671,0.000002145395,0.00004111381,0.000001938915,1.704185e-7,0.001465358,0.9963832,0.00007483701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009690449,0.4923876,0.00001200142,0.1253809,0.003024359,0.001112035,0.00003016571,0.0001670644,0.3681954],"genre_scores_gemma":[0.9454034,0.04495191,0.00001571843,0.004218752,0.001163096,0.00007730359,0.000008672195,0.00001181406,0.004149357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9442843,"threshold_uncertainty_score":0.9991722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371230987010988,"score_gpt":0.2672270546147781,"score_spread":0.2301039559136793,"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."}}