{"id":"W4417413485","doi":"10.1093/rssdat/udaf002","title":"Beyond Quantification: Navigating Uncertainty in Professional AI Systems","year":2025,"lang":"en","type":"article","venue":"RSS Data Science and Artificial Intelligence","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Probabilistic logic; Face (sociological concept); Simple (philosophy); Citizen journalism; Participatory evaluation; Variety (cybernetics); Knowledge integration; Professional development","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04948328,0.0009481871,0.001101601,0.002725327,0.006824698,0.01208728,0.003138853,0.003968346,0.004140742],"category_scores_gemma":[0.1084558,0.00108362,0.001390558,0.001865256,0.02625895,0.02205472,0.0206871,0.005044653,0.000672663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003717805,"about_ca_system_score_gemma":0.006266923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271809,"about_ca_topic_score_gemma":0.002769032,"domain_scores_codex":[0.9458823,0.04017704,0.001884358,0.003777682,0.006578462,0.001700233],"domain_scores_gemma":[0.903112,0.07486226,0.005372279,0.009329294,0.005469664,0.001854556],"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":[0.00008527557,0.00006964922,0.002423469,0.0002123767,0.0000653924,0.0003755562,0.03418624,0.0412197,0.002058247,0.8648435,0.001394606,0.05306586],"study_design_scores_gemma":[0.00001528979,0.00003462625,0.0002349654,0.0000942182,0.00002136331,0.00007747776,0.004117488,0.05085919,0.0009196501,0.9330989,0.01048634,0.00004043596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05296122,0.0005293855,0.9137525,0.01027427,0.0000905639,0.0001921684,0.00004922517,0.0002693724,0.02188126],"genre_scores_gemma":[0.7657065,0.0002594893,0.2305705,0.0005747586,0.00007416159,0.0002382069,0.00006614658,0.0001306985,0.002379587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04948328,"threshold_uncertainty_score":0.2616957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2391811415705016,"score_gpt":0.5033066189989215,"score_spread":0.2641254774284199,"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."}}