{"id":"W6945935544","doi":"10.3205/24dga163","title":"Entwicklung eines multisensorischen Kommunikationsimplantats basierend auf Künstlicher Intelligenz und EEG-Markern","year":2024,"lang":"de","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Context (archaeology); Set (abstract data type); Long-term prediction","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":[0.001845458,0.001531346,0.0009206495,0.001251268,0.0002506495,0.001833313,0.001216841,0.001460928,0.006125082],"category_scores_gemma":[0.002607384,0.0006215516,0.000766421,0.0004879062,0.0003882002,0.001548339,0.001351643,0.0009720501,0.002951232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577235,"about_ca_system_score_gemma":0.0005651825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000794752,"about_ca_topic_score_gemma":0.0008773257,"domain_scores_codex":[0.9989939,0.0001815238,0.00008654289,0.0003050354,0.0003453321,0.00008755427],"domain_scores_gemma":[0.9987624,0.0004764564,0.00009323605,0.0001744477,0.0004142947,0.00007914916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002052353,0.0003500269,0.001744791,0.0008248945,0.0002927559,0.0004453924,0.0003291609,0.01025759,0.5532445,0.001080548,0.001944387,0.4274335],"study_design_scores_gemma":[0.0003673582,0.00347241,0.01355413,0.0002370197,0.0005674082,0.001368695,0.0003106101,0.1826866,0.7787384,0.001988755,0.01643668,0.0002719368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1457784,0.002276417,0.8387815,0.0004168524,0.0005771117,0.0008068209,0.001183541,0.005987427,0.004191858],"genre_scores_gemma":[0.3733391,0.001469309,0.617456,0.0002995016,0.0001243217,0.0009541175,0.001312015,0.0007011811,0.004344525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006125082,"threshold_uncertainty_score":0.02049047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169113089243408,"score_gpt":0.4839419968541342,"score_spread":0.3670306879297935,"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."}}