{"id":"W4407264834","doi":"10.29173/cais1985","title":"Telling Tales","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.002722465,0.00066747,0.0005030336,0.003192985,0.006827614,0.008644206,0.001623951,0.001942888,0.02815728],"category_scores_gemma":[0.02113715,0.000310224,0.0004080602,0.001708203,0.008631043,0.01038096,0.007351625,0.00308861,0.006776873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383236,"about_ca_system_score_gemma":0.001319823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280213,"about_ca_topic_score_gemma":0.002297484,"domain_scores_codex":[0.9972118,0.0008431746,0.0001275498,0.0003358199,0.001223456,0.0002582759],"domain_scores_gemma":[0.9923015,0.003901556,0.0007485324,0.001293825,0.001046107,0.0007085823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001940946,0.00007355369,0.003064068,0.0009439155,0.00005030959,0.001364044,0.1380649,0.0007000443,0.004171484,0.5008073,0.1000009,0.2505653],"study_design_scores_gemma":[0.00001190485,0.0000780997,0.001380648,0.0005649569,0.00002687967,0.001429892,0.04818538,0.0005401594,0.002807471,0.114657,0.830269,0.00004865181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1015853,0.01238041,0.07647561,0.04735215,0.006018973,0.0003269485,0.001471908,0.001736904,0.7526517],"genre_scores_gemma":[0.6487901,0.007423772,0.03494355,0.006767516,0.002379218,0.000181748,0.001029962,0.0006708813,0.2978132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02815728,"threshold_uncertainty_score":0.09419554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737488375401392,"score_gpt":0.2249582622619382,"score_spread":0.1975833785079243,"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."}}