{"id":"W4409722615","doi":"10.1177/20539517251334099","title":"Algorithmic accountabilities and health systems: A review and sociomaterial approach","year":2025,"lang":"en","type":"review","venue":"Big Data & Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociology; Epistemology; Computer science; Data science; Engineering ethics; Engineering; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005305611,0.0009873172,0.001499508,0.008885848,0.0008038454,0.003484459,0.001296779,0.002844757,0.003026373],"category_scores_gemma":[0.01350671,0.0006503037,0.0008640156,0.01181701,0.004492929,0.004988822,0.001848855,0.003240165,0.0007702202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003781741,"about_ca_system_score_gemma":0.00761082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506815,"about_ca_topic_score_gemma":0.006881402,"domain_scores_codex":[0.996936,0.001413682,0.0004007044,0.000264594,0.0008718034,0.0001132029],"domain_scores_gemma":[0.9786148,0.01870155,0.0008039135,0.0003400191,0.001375273,0.0001643806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003590265,0.00007054237,0.0005798661,0.04627307,0.0002832207,0.0001731655,0.001087638,0.002093624,0.000265242,0.2563062,0.02630048,0.6665311],"study_design_scores_gemma":[0.0000120664,0.00007308626,0.001585719,0.04636256,0.0001776593,0.0005913279,0.0006951474,0.0005317689,0.0002609636,0.08420291,0.8654464,0.00006042567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008252048,0.9959066,0.0007013856,0.001662473,0.000146414,0.000005793841,0.000008721408,0.000004168851,0.001481948],"genre_scores_gemma":[0.002151277,0.996366,0.0005627419,0.0004663933,0.0002823794,0.00001634715,0.00001142508,0.000003030211,0.0001403649],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9991962,"threshold_uncertainty_score":0.02805907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4118463822151922,"score_gpt":0.4951928313561257,"score_spread":0.08334644914093353,"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."}}