{"id":"W4402165574","doi":"10.1136/bmj.q1883","title":"Young people and other vulnerable groups are overlooked in AI algorithm development","year":2024,"lang":"en","type":"letter","venue":"BMJ","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Data science; Medicine; Algorithm","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":[0.01271495,0.0005487284,0.0009884466,0.0009784847,0.007267197,0.006425368,0.001834125,0.04026576,0.01090109],"category_scores_gemma":[0.1162651,0.0009019283,0.001242062,0.0007446408,0.006693386,0.007951614,0.004746729,0.03695891,0.009300377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003551243,"about_ca_system_score_gemma":0.01417048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461508,"about_ca_topic_score_gemma":0.02697473,"domain_scores_codex":[0.988336,0.004676901,0.001615717,0.0006027672,0.003528388,0.00124007],"domain_scores_gemma":[0.9269763,0.04697741,0.002731709,0.001403924,0.01038998,0.01152081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005139862,0.00007058574,0.005320939,0.0001754768,0.00003723419,0.004198495,0.002729362,0.0001891806,0.0002364124,0.007772081,0.9303078,0.04891095],"study_design_scores_gemma":[0.00009688934,0.0001004326,0.002225376,0.001133989,0.00005331276,0.005277135,0.005359221,0.0008706664,0.0002344505,0.04491168,0.9396493,0.00008746106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004729173,0.0004401886,0.0002763195,0.9919662,0.003292243,0.00001308506,0.00001291405,0.00001643856,0.003509633],"genre_scores_gemma":[0.008661707,0.001288917,0.001224719,0.9670536,0.01293776,0.00009314352,0.000018709,0.00004971493,0.008671737],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04026576,"threshold_uncertainty_score":0.06724387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08428489023129826,"score_gpt":0.3883822468671047,"score_spread":0.3040973566358064,"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."}}