{"id":"W2113183634","doi":"10.1109/icce.2011.5722749","title":"High definition haptics for consumer electronics","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":"Immersion (Canada)","funders":"","keywords":"Haptic technology; Electronics; Leverage (statistics); Computer science; Phone; Actuator; Interface (matter); Human–computer interaction; Electrical engineering; Engineering; Simulation; Artificial intelligence; Operating system","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":[0.0003406181,0.0004274265,0.0002386998,0.0003106315,0.0002846894,0.0009716853,0.0006362051,0.0009645682,0.01601694],"category_scores_gemma":[0.0008798006,0.0001892912,0.0002538484,0.0003109358,0.0005897392,0.001300876,0.0008324173,0.0007886314,0.002909989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605064,"about_ca_system_score_gemma":0.000226648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002111597,"about_ca_topic_score_gemma":0.0002907132,"domain_scores_codex":[0.9995734,0.00006606952,0.00001529539,0.00003155699,0.0002896184,0.00002401049],"domain_scores_gemma":[0.9996275,0.0001533824,0.00003422538,0.00005136432,0.0001087787,0.00002475403],"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":[0.0002880392,0.00008433446,0.0004930051,0.001266513,0.00002161227,0.001125064,0.0005144508,0.002898483,0.2949348,0.1506506,0.02586175,0.5218614],"study_design_scores_gemma":[0.0001075824,0.0008818354,0.001526332,0.0004171498,0.00004443631,0.006302972,0.0002533882,0.0281809,0.1166111,0.05017908,0.7953538,0.000141519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01934916,0.02166336,0.8497421,0.002933153,0.001889803,0.0001774191,0.000147757,0.002258429,0.1018388],"genre_scores_gemma":[0.394661,0.01606646,0.4527659,0.001942095,0.001037456,0.0002475223,0.0002606444,0.0004870017,0.1325321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01601694,"threshold_uncertainty_score":0.05358195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362547431991214,"score_gpt":0.2856583373485693,"score_spread":0.149403594149448,"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."}}