{"id":"W2065105058","doi":"10.1109/toh.2014.2309124","title":"Exploring the Role of Haptic Feedback in Enabling Implicit HCI-Based Bookmarking","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Computer science; Active listening; Context (archaeology); Human–computer interaction; Auditory feedback; Multimedia; Simulation; Communication; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001447568,0.000136371,0.000202417,0.0005258366,0.0001972568,0.0001465725,0.0005137569,0.00003863396,0.00009701799],"category_scores_gemma":[0.00006235437,0.00009827796,0.0001423907,0.0007034114,0.00006917603,0.0005521211,0.000003349467,0.0002260258,0.0001410238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004465281,"about_ca_system_score_gemma":0.0000268834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005976288,"about_ca_topic_score_gemma":0.0001003153,"domain_scores_codex":[0.9980309,0.00009265875,0.0006344036,0.0002067995,0.0008014419,0.0002337724],"domain_scores_gemma":[0.9982969,0.0008808863,0.0001690545,0.0004725271,0.0001245402,0.00005611035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000175723,0.0003175617,0.00234571,0.00002893147,0.00003894352,0.000002140964,0.003580528,0.3180733,0.01126924,0.003862969,0.0001074242,0.6601975],"study_design_scores_gemma":[0.001486338,0.0002342161,0.0126979,0.0001413141,0.0001076295,0.00000276311,0.006311091,0.9015134,0.04326103,0.003355015,0.03037491,0.0005144182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6113722,0.00001305467,0.3845904,0.0003941628,0.0003986312,0.0002093094,0.000007660446,0.00004111062,0.002973446],"genre_scores_gemma":[0.9987193,0.00001207856,0.0006331029,0.000263468,0.00002640926,0.00003917634,5.595659e-7,0.00001151821,0.0002944393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6596831,"threshold_uncertainty_score":0.4007659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2692259830773743,"score_gpt":0.3626383002790488,"score_spread":0.09341231720167448,"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."}}