{"id":"W4402479355","doi":"10.1371/journal.pdig.0000597","title":"Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review","year":2024,"lang":"en","type":"review","venue":"PLOS Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; NOSM University; Health Sciences North; University of Ottawa; Thunder Bay Regional Health Sciences Centre","funders":"Associated Medical Services","keywords":"Accountability; Equity (law); Health care; Thematic analysis; Multidisciplinary approach; Public relations; Social determinants of health; Inclusion (mineral); Social accounting; Health equity; Political science; Psychology; Sociology; Qualitative research; Social science; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001223469,0.000474095,0.001848195,0.0004183902,0.0004356106,0.0004383424,0.0002552876,0.0003706302,0.00003744544],"category_scores_gemma":[0.0002457101,0.0003077592,0.0003046052,0.001350965,0.0001262496,0.0001864224,0.00004496931,0.001735074,0.0001439184],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912764,"about_ca_system_score_gemma":0.01301943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02174993,"about_ca_topic_score_gemma":0.1409963,"domain_scores_codex":[0.9959417,0.0003590836,0.001692639,0.0007273357,0.0004750912,0.0008041806],"domain_scores_gemma":[0.9983031,0.0002427335,0.0003184461,0.0004693618,0.0001960461,0.0004703024],"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":[0.000005893457,0.0000687365,0.0000131158,0.2224749,0.00001771582,0.00001659039,0.009287293,4.408427e-9,1.79707e-10,0.0002540198,0.004163516,0.7636982],"study_design_scores_gemma":[0.000006284829,0.0003551378,0.00001287889,0.1767603,0.0001916387,0.0002195087,0.004101826,0.000003566363,4.380121e-8,0.0005363147,0.8175356,0.0002769386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001682462,0.9660351,9.703366e-7,0.02833929,0.000338631,0.003851952,0.0008448269,0.00004652933,0.00052591],"genre_scores_gemma":[0.002262178,0.9836245,0.00001350569,0.00994458,0.0008952144,0.000268581,0.002914329,0.00005293964,0.00002419748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.813372,"threshold_uncertainty_score":0.9999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2759962080079018,"score_gpt":0.4841678422881052,"score_spread":0.2081716342802034,"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."}}