{"id":"W2611335450","doi":"10.1145/3025453.3025584","title":"Turbulent Touch","year":2017,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"","keywords":"Touchscreen; Cockpit; Computer science; Touchpad; Vibration; Workload; Stencil; Supervisor; Software deployment; Lift (data mining); Human–computer interaction; Simulation; Computer hardware; Acoustics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000004288635,0.00003274839,0.00003216166,0.0000132677,0.0003751856,0.0001144068,0.0001826576,0.00001318123,0.0007750499],"category_scores_gemma":[0.0002297342,0.00002544257,0.0000264183,0.000007602244,0.0000304512,0.0002136294,0.00002614569,0.00005355528,0.001420881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006408544,"about_ca_system_score_gemma":0.000004847493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006737117,"about_ca_topic_score_gemma":0.00002382866,"domain_scores_codex":[0.9996893,0.000007259649,0.00004288814,0.0001141151,0.00006323363,0.00008321131],"domain_scores_gemma":[0.9995351,0.00003704,0.00002957919,0.0003591079,0.000007284531,0.00003190163],"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":[0.000008978899,0.0000596224,0.0005483602,0.000001266625,0.000001411169,0.00006114123,0.00009330006,0.000005719822,0.9557407,0.02125675,0.01583713,0.006385576],"study_design_scores_gemma":[0.00005797658,0.00001117464,0.001151838,0.000001175489,0.00000110748,0.00003806442,0.00001592669,0.0004342461,0.8111975,0.0002928993,0.1867557,0.00004238805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5170097,2.072949e-7,0.0001469228,0.003449573,0.0004034215,0.00003591647,9.442268e-7,0.00005469537,0.4788987],"genre_scores_gemma":[0.9572635,0.000003891033,0.0000291794,0.001156195,0.00005923484,0.000002262753,5.923574e-8,0.00000290879,0.04148274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4402539,"threshold_uncertainty_score":0.9993566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08501159804837337,"score_gpt":0.3385001565099057,"score_spread":0.2534885584615323,"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."}}