{"id":"W4211124067","doi":"10.22148/001c.32551","title":"Shakespeare and Company Project Data Sets","year":2022,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Research Committee, Emory University; Princeton University","keywords":"Bridge (graph theory); Work (physics); Set (abstract data type); Data set; Library science; History; World Wide Web; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.007393952,0.001107799,0.001139704,0.01023913,0.002546333,0.004360908,0.002519851,0.00229236,0.02762804],"category_scores_gemma":[0.04974448,0.0007966734,0.0008233391,0.01805846,0.001300662,0.002288242,0.0038831,0.002884217,0.02880403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651378,"about_ca_system_score_gemma":0.007196125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04153895,"about_ca_topic_score_gemma":0.03969883,"domain_scores_codex":[0.9882691,0.002326169,0.001441021,0.001344334,0.005752621,0.0008667418],"domain_scores_gemma":[0.9670568,0.009968745,0.002147352,0.004375129,0.01466654,0.001785437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001980502,0.0002933716,0.01241478,0.0005969677,0.00005184532,0.0002213814,0.00102063,0.00093494,0.0001815098,0.008481079,0.9463494,0.02925599],"study_design_scores_gemma":[0.000106791,0.00004305372,0.02662944,0.0003956138,0.00002043904,0.0001555737,0.001950792,0.0006639364,0.0005280591,0.003336826,0.9660713,0.00009821674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01474816,0.0005863463,0.003289395,0.001755954,0.0003211387,0.001397771,0.9556482,0.0006135434,0.02163949],"genre_scores_gemma":[0.01286065,0.0003495838,0.006919723,0.0003444021,0.00007948716,0.004474171,0.9676731,0.0002372569,0.007061612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04153895,"threshold_uncertainty_score":0.09242499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678217392894345,"score_gpt":0.3192285861083995,"score_spread":0.151406846818965,"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."}}