{"id":"W3104854885","doi":"10.1007/s11569-020-00378-0","title":"What It Takes to Be a Pioneer: Ability Expectations From Brain-Computer Interface Users","year":2020,"lang":"en","type":"article","venue":"NanoEthics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Bundesministerium für Bildung und Forschung","keywords":"Brain–computer interface; Action (physics); Normality; Presupposition; Philosophy of technology; Interface (matter); Psychology; Subject (documents); Computer science; Philosophy of science; Human–computer interaction; Cognitive science; Cognitive psychology; Social psychology; Electroencephalography; Epistemology; Neuroscience","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":[0.007096452,0.0002426013,0.0002443448,0.0007504902,0.001582188,0.005735536,0.0005500593,0.001753972,0.002234002],"category_scores_gemma":[0.04934619,0.0002627652,0.0003054357,0.0002911413,0.003508723,0.003203142,0.001855488,0.002680319,0.0004107444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278852,"about_ca_system_score_gemma":0.001190541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003594337,"about_ca_topic_score_gemma":0.00197049,"domain_scores_codex":[0.9941291,0.003590707,0.0002734943,0.0003292446,0.001233266,0.0004442813],"domain_scores_gemma":[0.9633867,0.02367608,0.004259357,0.001453832,0.003726189,0.003497841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001070443,0.000591544,0.3305902,0.0003914999,0.0001352143,0.002262591,0.5463622,0.001271948,0.009930456,0.04117635,0.003934194,0.06228333],"study_design_scores_gemma":[0.00009565514,0.001205208,0.312574,0.0005471042,0.0001613934,0.004077175,0.5773839,0.01115908,0.008599487,0.05185937,0.03178708,0.0005505534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756798,0.0003187661,0.00308008,0.003006674,0.00004865382,0.00002443579,0.00003748166,0.00002553347,0.01777862],"genre_scores_gemma":[0.9992324,0.00005367789,0.0002276359,0.0001654323,0.000006041309,0.000007150141,0.000009573331,0.000006180217,0.0002920158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007096452,"threshold_uncertainty_score":0.03753006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09229174415228954,"score_gpt":0.3355642626179524,"score_spread":0.2432725184656628,"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."}}