{"id":"W2082510610","doi":"10.1109/ccece.2008.4564805","title":"A brain-controlled 3D sonar scanner","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Sonar; Human echolocation; Computer science; Scanner; SIGNAL (programming language); Transducer; Artificial intelligence; Computer vision; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003208209,0.0004208323,0.0003934075,0.0003540487,0.0002101841,0.000473799,0.001283286,0.0009958223,0.008038976],"category_scores_gemma":[0.0004968219,0.0003888662,0.0003238151,0.0002055306,0.0003342018,0.0005769969,0.0007751051,0.0006456465,0.002117562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494711,"about_ca_system_score_gemma":0.0006500416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383768,"about_ca_topic_score_gemma":0.0006034611,"domain_scores_codex":[0.9997798,0.00003292656,0.00001087077,0.00005902047,0.00009995222,0.00001740841],"domain_scores_gemma":[0.9997594,0.0000853452,0.0000244866,0.00003793482,0.00004780064,0.00004510662],"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":[0.0003274812,0.0001020718,0.001099442,0.0003374393,0.00005014056,0.0009014158,0.0002031057,0.003069315,0.8600293,0.005432455,0.005688369,0.1227596],"study_design_scores_gemma":[0.0003881766,0.00319884,0.01376982,0.0001576071,0.0002934092,0.02732413,0.0002069037,0.1383707,0.6413859,0.006168158,0.1682973,0.0004391844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07657234,0.001164151,0.9017627,0.0007869758,0.000418197,0.0003785022,0.001008627,0.006640765,0.01126765],"genre_scores_gemma":[0.2610795,0.0007377133,0.7237225,0.0006705346,0.0001419532,0.0004703171,0.0007351526,0.0002529865,0.01218931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008038976,"threshold_uncertainty_score":0.02689302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117493528111395,"score_gpt":0.1943769743720685,"score_spread":0.1732020390909546,"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."}}