{"id":"W2022233191","doi":"10.1145/958432.958481","title":"Auditory, graphical and haptic contact cues for a reach, grasp, and place task in an augmented environment","year":2003,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; GRASP; Human–computer interaction; Computer science; Augmented reality; Task (project management); Sensory cue; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004795063,0.0001085433,0.0001205357,0.00008660877,0.0001097671,0.00004724097,0.00004278425,0.00004975938,0.00006204521],"category_scores_gemma":[0.0001443947,0.00009442995,0.00002347284,0.00004654087,0.00007422767,0.0002302775,0.00001198089,0.0001132311,0.000005922931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002657599,"about_ca_system_score_gemma":0.000008494303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003324194,"about_ca_topic_score_gemma":0.0001713985,"domain_scores_codex":[0.9991392,0.00009894137,0.0001443692,0.0003429508,0.00009144458,0.0001830163],"domain_scores_gemma":[0.999397,0.0003244867,0.0000345807,0.000133723,0.000004735306,0.0001054475],"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":[0.0001303603,0.0002977773,0.004804188,0.00001094614,0.00000571465,0.00001857961,0.0003935642,0.00001325095,0.9850057,0.008267332,0.0007119234,0.0003406917],"study_design_scores_gemma":[0.0113394,0.00530384,0.0983931,0.0001119961,0.0001545683,0.00066516,0.005202862,0.03244944,0.5482318,0.006282419,0.289943,0.001922427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979658,0.0000103367,0.000464336,0.0002838683,0.0001429486,0.0003182654,0.000009779926,0.0000298614,0.00077477],"genre_scores_gemma":[0.9987634,0.00008134909,0.000138179,0.0003389557,0.00002455487,0.00004352201,0.000001623875,0.000009820223,0.0005986104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367739,"threshold_uncertainty_score":0.3850742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768782789632093,"score_gpt":0.2713923968389391,"score_spread":0.2437045689426182,"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."}}