{"id":"W7130606713","doi":"10.35492/docam/12/2/3","title":"Docemes and Document Embeddings","year":2025,"lang":"en","type":"article","venue":"Proceedings from the Document Academy","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Position (finance); Reflection (computer programming); Term (time); Closing (real estate); Position paper; Information system; Support vector machine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003567617,0.0002614107,0.0002289379,0.0000826254,0.0007543619,0.00298773,0.0005039959,0.00007204975,0.001589456],"category_scores_gemma":[0.00005673107,0.0001759025,0.00008323098,0.00005978637,0.000366808,0.001545428,0.0003407346,0.0004003039,0.00007818489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826101,"about_ca_system_score_gemma":0.00001375638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582801,"about_ca_topic_score_gemma":0.00002061008,"domain_scores_codex":[0.9986005,0.00000989624,0.0003410591,0.0003776925,0.0002982098,0.0003726635],"domain_scores_gemma":[0.9995112,0.000141245,0.0001172383,0.00008253987,0.00007329448,0.00007449507],"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":[0.00002989597,0.00001162226,0.0009243676,0.00002864253,0.0000877881,3.700686e-7,0.01340497,7.586738e-8,0.00003208633,0.9257784,0.05547769,0.004224099],"study_design_scores_gemma":[0.0002672886,0.0000240753,0.0005939808,0.0001112572,0.00005682743,6.660447e-7,0.00659942,0.00000441945,0.000267217,0.351413,0.640501,0.0001608963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5614424,0.002199981,0.000002212474,0.01599534,0.0003972465,0.0004229214,0.00002254842,0.000179566,0.4193378],"genre_scores_gemma":[0.9306768,0.0002491067,0.00004398366,0.006039102,0.0006282882,0.00007996077,0.000008481885,0.00001961566,0.0622547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850232,"threshold_uncertainty_score":0.9993232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357290759438461,"score_gpt":0.2569739915980845,"score_spread":0.2334010840036999,"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."}}