{"id":"W2980305565","doi":"10.1353/vpr.2019.0039","title":"Zooming In and Out: Theories of Poetry from Checking the Periodical Poetry Index","year":2019,"lang":"en","type":"article","venue":"Victorian periodicals review","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Index (typography); Search engine indexing; Scholarship; Computer science; Process (computing); Zoom; Raw data; Literature; Information retrieval; World Wide Web; Art; Law; Programming language","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007195194,0.001004045,0.0007429254,0.007108652,0.007006287,0.01169066,0.002403142,0.003672859,0.008389215],"category_scores_gemma":[0.03552861,0.001104402,0.001758205,0.00543451,0.05645426,0.03081631,0.007229737,0.007122002,0.001332509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005359624,"about_ca_system_score_gemma":0.002496429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006757543,"about_ca_topic_score_gemma":0.003771001,"domain_scores_codex":[0.9946467,0.003008798,0.0001985761,0.0009265446,0.0009097799,0.0003094654],"domain_scores_gemma":[0.9721086,0.0183473,0.001976409,0.004287178,0.002428401,0.0008521422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001251524,0.00001211691,0.0004359958,0.00003323827,0.000005377,0.00005581289,0.01163401,0.0004194483,0.00004659927,0.9801001,0.001424608,0.00582022],"study_design_scores_gemma":[0.00001188361,0.00001348514,0.0004577819,0.00008827263,0.000006773925,0.00009752586,0.002490077,0.001806508,0.00009767032,0.982713,0.01219545,0.0000216553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05568777,0.00952128,0.2815654,0.02906764,0.001188784,0.0003433979,0.0003837476,0.0006323376,0.6216096],"genre_scores_gemma":[0.8824499,0.002652009,0.0892344,0.002627703,0.0008753365,0.0005257424,0.000399605,0.0006736427,0.02056168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928914,"threshold_uncertainty_score":0.03888696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109705057393314,"score_gpt":0.2445973386011389,"score_spread":0.2235002880272057,"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."}}