{"id":"W2973527576","doi":"10.16995/dm.81","title":"Querying Variants: Boccaccio’s ‘Commedia’ and Data-Models","year":2019,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philology; Section (typography); Computer science; Scholarship; Relational database; Literature; Information retrieval; World Wide Web; Art; Sociology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002612782,0.0002372722,0.00028727,0.00008407974,0.000209023,0.003332345,0.0005845003,0.00005094004,0.001122953],"category_scores_gemma":[0.0001135974,0.0002026812,0.00005289107,0.0000280864,0.0002773477,0.006466055,0.0004974132,0.000204068,0.0004141951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000259053,"about_ca_system_score_gemma":0.00003431394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001048764,"about_ca_topic_score_gemma":0.0002336241,"domain_scores_codex":[0.9984498,0.00001847069,0.0003180742,0.0004752723,0.0003581419,0.0003802173],"domain_scores_gemma":[0.998746,0.0001858321,0.00008857307,0.0007164578,0.00009583812,0.0001672395],"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":[0.00004993401,0.0001299821,0.0009362682,0.0001345156,0.00009112194,0.00003211877,0.01080992,0.000002368305,0.000005538384,0.9470967,0.01934566,0.02136585],"study_design_scores_gemma":[0.0006703436,0.0001354643,0.000193916,0.0001278936,0.00002929505,0.00002056675,0.008736365,0.0009679108,0.000002809202,0.04139814,0.9471993,0.0005179487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1426136,0.0005122325,0.00001027694,0.0004427923,0.001325563,0.000240216,0.0011636,0.0001495017,0.8535422],"genre_scores_gemma":[0.9690446,0.00002697864,0.00001745642,0.0008333115,0.0007028536,0.00000673084,0.0007382729,0.00004178999,0.02858798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9278537,"threshold_uncertainty_score":0.9997901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091988098683755,"score_gpt":0.2631194294097596,"score_spread":0.1711313307260046,"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."}}