{"id":"W6912429875","doi":"10.5281/zenodo.3458612","title":"Citation Scores for Greco-Roman Historians in North America, 2019 (with 2021 update)","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Scholarship; Representation (politics); Citation analysis; Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001268102,0.0003692225,0.0004587978,0.0261462,0.0006142454,0.002328736,0.0007026601,0.0004406768,0.007361622],"category_scores_gemma":[0.007463264,0.000114717,0.0003938648,0.05099407,0.0004306263,0.001330602,0.001095369,0.0005192027,0.003583579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263678,"about_ca_system_score_gemma":0.002365216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06389946,"about_ca_topic_score_gemma":0.1382343,"domain_scores_codex":[0.9985148,0.0001518728,0.0002600999,0.0001829627,0.0007234148,0.0001668524],"domain_scores_gemma":[0.9900906,0.001265539,0.002472207,0.0003435138,0.005094452,0.0007336938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002563773,0.00006105544,0.5757238,0.002026852,0.0003175754,0.000237847,0.002126967,0.0006424607,0.0007267266,0.002902434,0.2132888,0.2016891],"study_design_scores_gemma":[0.000006881216,0.00002610902,0.8472703,0.0002062448,0.00006094829,0.0002476624,0.0009139219,0.00012422,0.000274448,0.0002155823,0.1506386,0.00001508285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4213277,0.05314117,0.0004632289,0.004348237,0.001161747,0.00004400433,0.44197,0.0007042091,0.07683973],"genre_scores_gemma":[0.6513276,0.03061278,0.001097467,0.000413141,0.0009293678,0.00008702368,0.2729031,0.0002130222,0.04241645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738538,"threshold_uncertainty_score":0.127055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259337932864513,"score_gpt":0.2179852801360647,"score_spread":0.1753919008074195,"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."}}