{"id":"W4410265558","doi":"10.1108/jd-01-2025-0009","title":"Navigating accountability: the role of paradata in AI documentation and governance","year":2025,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Accountability; Documentation; Corporate governance; Computer science; Business; Knowledge management; Accounting; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1357931,0.0003976238,0.0007671473,0.01161485,0.01770416,0.03140624,0.003208732,0.003008338,0.004546274],"category_scores_gemma":[0.2464347,0.0007540078,0.0005880044,0.01334341,0.05979518,0.0348491,0.01570805,0.005200963,0.0005781582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486324,"about_ca_system_score_gemma":0.03149025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008742578,"about_ca_topic_score_gemma":0.01164972,"domain_scores_codex":[0.8475181,0.1217546,0.01049939,0.005299571,0.01232493,0.002603502],"domain_scores_gemma":[0.5925882,0.2764004,0.03406315,0.06099138,0.03177464,0.004182226],"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":[0.00004750202,0.00004312999,0.006016559,0.0004914186,0.00001799185,0.000371372,0.255818,0.0004422061,0.0003120336,0.656367,0.003633708,0.07643916],"study_design_scores_gemma":[0.00002739207,0.0001074516,0.00611307,0.003919537,0.00004791242,0.0007379539,0.3347958,0.001669582,0.001621455,0.3386615,0.312193,0.0001053706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2845448,0.01033826,0.1732024,0.1245539,0.001080768,0.001079956,0.0004779671,0.0007142351,0.4040077],"genre_scores_gemma":[0.9628272,0.001182626,0.02682368,0.001181262,0.0001191762,0.0003112137,0.0001021792,0.0001396924,0.007313016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1357931,"threshold_uncertainty_score":0.7181511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522945700478143,"score_gpt":0.4197074774598421,"score_spread":0.4044780204550606,"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."}}