{"id":"W7034893387","doi":"","title":"Working with a computer hands-free using Nouse ® Perceptual Vision Interface","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interface (matter); Perception; Control (management); User interface; Rehabilitation; Center (category theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.000456683,0.00040832,0.0002581728,0.0003756677,0.0002456548,0.00109236,0.0006066984,0.0008320937,0.02748831],"category_scores_gemma":[0.001511851,0.0001598453,0.0002782394,0.0002095763,0.0002537954,0.000826575,0.001299797,0.0004328538,0.004824435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606803,"about_ca_system_score_gemma":0.0003331889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008432777,"about_ca_topic_score_gemma":0.0006963946,"domain_scores_codex":[0.9996935,0.00006163356,0.00002325582,0.00007284676,0.0001163871,0.00003232694],"domain_scores_gemma":[0.9996783,0.0001371526,0.00001561493,0.00004152425,0.00009071027,0.00003674175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001053867,0.0005838348,0.002449479,0.001013794,0.00003807847,0.001299435,0.004179216,0.002166454,0.2104215,0.02331674,0.04288685,0.7105908],"study_design_scores_gemma":[0.0004869461,0.003214258,0.02922136,0.0006324724,0.0002014187,0.009714114,0.003333787,0.09647525,0.134955,0.01098755,0.7103939,0.0003839133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09058685,0.0006114659,0.7864596,0.0006251981,0.0005830867,0.001173573,0.0007496683,0.01863364,0.100577],"genre_scores_gemma":[0.4832209,0.0004387154,0.3963618,0.0009300195,0.00008150328,0.0008993059,0.0009316427,0.0007420503,0.1163941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02748831,"threshold_uncertainty_score":0.09195757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734879464766536,"score_gpt":0.2926001440615739,"score_spread":0.2352513494139086,"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."}}