{"id":"W2723878059","doi":"10.1007/s11948-017-9928-9","title":"Keeping Disability in Mind: A Case Study in Implantable Brain–Computer Interface Research","year":2017,"lang":"en","type":"article","venue":"Science and Engineering Ethics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroDevNet","funders":"University of British Columbia; University of Washington; National Science Foundation","keywords":"Thematic analysis; Brain–computer interface; Interface (matter); Computer science; End user; User experience design; Qualitative research; Neuroethics; User interface; Human–computer interaction; Psychology; World Wide Web; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007196571,0.0009223677,0.0006681854,0.002123035,0.01609769,0.005779117,0.002362736,0.01004744,0.004283467],"category_scores_gemma":[0.03397725,0.0004936354,0.0009309345,0.001955576,0.009246304,0.004477196,0.006021906,0.006715192,0.000706714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003519562,"about_ca_system_score_gemma":0.004329444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244833,"about_ca_topic_score_gemma":0.007963264,"domain_scores_codex":[0.9922311,0.004713254,0.0003997954,0.0004866204,0.001054831,0.001114429],"domain_scores_gemma":[0.9764534,0.01590251,0.00177126,0.001095834,0.001305192,0.003471655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001882738,0.001458378,0.02303635,0.0005251338,0.00007218363,0.51745,0.3396683,0.000862969,0.00184693,0.04988063,0.01126285,0.05374806],"study_design_scores_gemma":[0.00004058256,0.0003221283,0.005338941,0.0006829342,0.00005749218,0.5768827,0.3257126,0.001735463,0.001936186,0.02125462,0.06590933,0.0001270918],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835177,0.002937783,0.0193944,0.04734914,0.0008287062,0.0003432722,0.0001146849,0.00009201754,0.04542233],"genre_scores_gemma":[0.9772761,0.002076657,0.006998712,0.002767535,0.000220781,0.0001230445,0.00003121801,0.0000536104,0.01045229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9839023,"threshold_uncertainty_score":0.03805959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889788265577246,"score_gpt":0.4442515457961687,"score_spread":0.2552727192384441,"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."}}