{"id":"W1590569860","doi":"10.22230/src.2013v4n3a127","title":"Opening the Early Modern ToolBox:
 The Digital Interleaf and Digital Commonplace Book","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Victoria","funders":"","keywords":"Computer science; Toolbox; Suite; World Wide Web; Interoperability; Reading (process); Annotation; Multimedia; Programming language; Artificial intelligence; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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"],"consensus_categories":[],"category_scores_codex":[0.002438614,0.0001400998,0.0001310531,0.00007878299,0.003474103,0.03340966,0.001115111,0.00005159255,0.00007578649],"category_scores_gemma":[0.0005955595,0.00007938348,0.0000464874,0.00005366555,0.001759005,0.008436123,0.000936625,0.001325511,0.00005607121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520504,"about_ca_system_score_gemma":0.0000235781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001380722,"about_ca_topic_score_gemma":0.0002538836,"domain_scores_codex":[0.9983033,0.0004297961,0.0002304098,0.0002070885,0.0005056268,0.0003237944],"domain_scores_gemma":[0.9973145,0.001292991,0.00006283271,0.000866468,0.0003689498,0.00009428726],"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":[0.0001021953,0.00007400497,0.0017752,0.0000252682,0.00005671813,0.000001324396,0.07733886,9.398428e-7,0.00001205933,0.7633908,0.005164083,0.1520585],"study_design_scores_gemma":[0.0003340005,0.0002477442,0.003336847,0.0001098764,0.000008446216,0.000014885,0.01734942,0.0004576711,0.000007024755,0.05856543,0.9193809,0.0001877609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641413,0.004571854,0.00002483303,0.006526418,0.00005432448,0.0003863145,0.00003304854,0.00004912418,0.4242128],"genre_scores_gemma":[0.9772794,0.0001737473,0.000006007912,0.0003568813,0.0001312944,0.00003936814,0.0000282825,0.00002041194,0.02196461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9142168,"threshold_uncertainty_score":0.9978232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09398250295075337,"score_gpt":0.3013705400871616,"score_spread":0.2073880371364082,"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."}}