{"id":"W2064369689","doi":"10.1109/have.2011.6088405","title":"A prototype Haptic E-Book system to support immersive remote reading in a smart space","year":2011,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Reading (process); Computer science; Multimedia; Human–computer interaction; Modality (human–computer interaction); Entertainment; Vocabulary; Artificial intelligence","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":[0.0002776318,0.0004044042,0.0004816247,0.0002453082,0.0001744858,0.0004247006,0.001733959,0.000851005,0.017055],"category_scores_gemma":[0.0007271667,0.0002097757,0.0002617307,0.0001440857,0.0002134829,0.0007538793,0.0008350119,0.0003528748,0.002876377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009693055,"about_ca_system_score_gemma":0.0001658353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002421082,"about_ca_topic_score_gemma":0.0004028198,"domain_scores_codex":[0.9998447,0.00002193763,0.00001194352,0.00003498022,0.00007089728,0.00001558482],"domain_scores_gemma":[0.9996337,0.0001565957,0.00002073483,0.00006797594,0.00006833363,0.00005277272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007222976,0.0006979956,0.002231274,0.00087966,0.00006206441,0.002878906,0.0007747113,0.002643806,0.5773058,0.002336629,0.01484956,0.3946173],"study_design_scores_gemma":[0.001400811,0.008872554,0.04528834,0.000236019,0.0004516026,0.02141923,0.0006953091,0.1940776,0.4841593,0.003247519,0.2397094,0.0004423111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797066,0.000591027,0.7781931,0.0002870846,0.0002799712,0.0009263094,0.0007034495,0.0248906,0.0144219],"genre_scores_gemma":[0.5608228,0.0003377528,0.3967478,0.0004373231,0.0001230536,0.0006686635,0.000936882,0.0005521234,0.03937364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.017055,"threshold_uncertainty_score":0.0570547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06221459480940896,"score_gpt":0.2885470449548641,"score_spread":0.2263324501454551,"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."}}