{"id":"W4327886420","doi":"10.2196/45534","title":"Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; British Heart Foundation; HORIZON EUROPE Framework Programme; National Institute for Health and Care Research; UK Research and Innovation; Johns Hopkins University","keywords":"Stakeholder; Focus group; Computer science; Plain language; Corporate governance; Artificial intelligence; World Wide Web; Knowledge management; Medicine; Public relations; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2629947,0.0008841542,0.0008590787,0.002360959,0.01256088,0.00945434,0.00331259,0.005287728,0.00242058],"category_scores_gemma":[0.2914644,0.001327021,0.0009035204,0.001425008,0.01708371,0.01889082,0.01397849,0.008711306,0.0007106378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01202087,"about_ca_system_score_gemma":0.01839975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005507135,"about_ca_topic_score_gemma":0.00387278,"domain_scores_codex":[0.7300398,0.2436135,0.006820864,0.004034808,0.009065307,0.006425802],"domain_scores_gemma":[0.625152,0.3110562,0.01832098,0.007863358,0.02466694,0.01294048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006902427,0.0000705888,0.002796292,0.0002591432,0.00000905809,0.0009293614,0.9821984,0.0001529944,0.001548569,0.004203333,0.00103601,0.006727182],"study_design_scores_gemma":[0.00002888426,0.0001636489,0.001177679,0.0007924924,0.00001445112,0.0007726574,0.9719328,0.0009314097,0.00123425,0.00490138,0.01798931,0.00006111153],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279265,0.001537397,0.05852302,0.09387557,0.0004824572,0.003338139,0.0002548209,0.0001363924,0.01392576],"genre_scores_gemma":[0.9778348,0.0007270542,0.01169612,0.006508818,0.00006705859,0.001843714,0.00009258516,0.00006414679,0.001165792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2629947,"threshold_uncertainty_score":0.9088587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6875658333331626,"score_gpt":0.575258509867812,"score_spread":0.1123073234653506,"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."}}