{"id":"W4387512155","doi":"10.5325/victinstj.50.2023.0186","title":"The <i>Digital Victorian Periodical Poetry</i> Project","year":2023,"lang":"en","type":"article","venue":"Victorians Institute Journal","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Poetry; Literature; Search engine indexing; Enhanced Data Rates for GSM Evolution; Encoding (memory); Digital era; Computer science; Art; Visual arts; Multimedia; World Wide Web; Telecommunications; Artificial intelligence; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005728394,0.0002628724,0.0002179715,0.0001989885,0.004920994,0.01564297,0.0007165107,0.00007524883,0.0003092726],"category_scores_gemma":[0.000211291,0.0001669019,0.0002638991,0.0001731116,0.0009269001,0.002305074,0.0001315903,0.000718874,0.0009107348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156916,"about_ca_system_score_gemma":0.0004095228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001708921,"about_ca_topic_score_gemma":0.0008471005,"domain_scores_codex":[0.9978255,0.00004224166,0.0005089377,0.0002232839,0.0007072815,0.0006927271],"domain_scores_gemma":[0.9990386,0.00011324,0.0001535827,0.0002946408,0.0002030543,0.0001969258],"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":[0.00006697712,0.00006333298,0.0004147957,0.00001399728,0.0001284259,0.0002808533,0.02317902,0.000005947943,0.00001104904,0.8320058,0.1359756,0.007854226],"study_design_scores_gemma":[0.0003695402,0.0001027802,0.00008574095,0.00003778646,0.0000161979,0.0001337885,0.004178198,0.00001057822,0.000003064649,0.004355297,0.9904578,0.0002492048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1125864,0.0002686917,0.00002260286,0.002281907,0.04290193,0.0003363745,0.0001582284,0.0005826656,0.8408613],"genre_scores_gemma":[0.9216624,0.0001747196,0.00001131533,0.0002745479,0.01987277,0.00002141282,0.00004556007,0.00005531074,0.05788191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8544823,"threshold_uncertainty_score":0.9998672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904707660125176,"score_gpt":0.2569388865387875,"score_spread":0.2078918099375358,"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."}}