{"id":"W4367313592","doi":"10.1145/3594728","title":"Positioning Paradata: A Conceptual Frame for AI Processual Documentation in Archives and Recordkeeping Contexts","year":2023,"lang":"en","type":"article","venue":"Journal on Computing and Cultural Heritage","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Documentation; Computer science; Transparency (behavior); Process (computing); Accountability; Metadata; Agency (philosophy); Workflow; Scope (computer science); Scholarship; Data science; Sociology; World Wide Web; Political science; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01502328,0.0009456213,0.0009486787,0.009177272,0.008361158,0.02348619,0.005391843,0.006991132,0.006292508],"category_scores_gemma":[0.02209173,0.0008806599,0.001458975,0.007624593,0.05491605,0.03421827,0.0105449,0.008964083,0.001368659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008597345,"about_ca_system_score_gemma":0.009774844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000018,"about_ca_topic_score_gemma":0.00857449,"domain_scores_codex":[0.9877506,0.007620655,0.001007142,0.001679219,0.001133109,0.0008092978],"domain_scores_gemma":[0.9802682,0.009912713,0.002497355,0.003684942,0.002200733,0.001436038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007021137,0.000006667237,0.000162634,0.00004716037,0.000002033854,0.00006089373,0.01766477,0.000119418,0.00006802359,0.9781266,0.0005763018,0.003158537],"study_design_scores_gemma":[0.00001937604,0.00004341398,0.0005620033,0.0007617306,0.00001791766,0.0006486477,0.04385937,0.00176965,0.0003233842,0.7237843,0.2281622,0.00004802516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03984829,0.008068821,0.5677402,0.05289447,0.001630953,0.00080191,0.0006509504,0.001129582,0.3272348],"genre_scores_gemma":[0.712613,0.003972766,0.2508882,0.00302,0.0007356015,0.001912414,0.0008099075,0.0007102762,0.02533785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02348619,"threshold_uncertainty_score":0.07945162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338625850983379,"score_gpt":0.340418111546091,"score_spread":0.3070318530362572,"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."}}