{"id":"W2980490403","doi":"10.1145/3332165.3347907","title":"Tip-Tap","year":2019,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Computer science; Haptic technology; Wearable computer; Index finger; Intersection (aeronautics); Thumb; Computer vision; Computer hardware; Artificial intelligence; Embedded system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002579191,0.0007919053,0.0004527127,0.0004387659,0.0002500821,0.0008136825,0.001672187,0.0009819845,0.0195615],"category_scores_gemma":[0.0009007608,0.0003515038,0.0004289412,0.0003679545,0.0002968289,0.001528851,0.001437275,0.0006480356,0.007314305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287816,"about_ca_system_score_gemma":0.0001469586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001665913,"about_ca_topic_score_gemma":0.0002916666,"domain_scores_codex":[0.9995379,0.00003639242,0.00002425571,0.0000996954,0.0002399157,0.0000618336],"domain_scores_gemma":[0.9994839,0.0001190813,0.00004594554,0.0001413911,0.0001464018,0.00006317929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004002956,0.0001822362,0.001630564,0.001378342,0.00006093988,0.001283702,0.0003521789,0.001760709,0.4617756,0.006488146,0.02712496,0.4975624],"study_design_scores_gemma":[0.00009962678,0.001948126,0.004609387,0.0002318821,0.0001090672,0.01188384,0.0002104767,0.03286493,0.5318403,0.00422019,0.411734,0.0002483349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05025985,0.004263769,0.881559,0.0005834553,0.001318605,0.0006466093,0.00109575,0.01424307,0.04602993],"genre_scores_gemma":[0.4022423,0.00389274,0.5242748,0.001929589,0.000389191,0.0007278727,0.001333075,0.001612986,0.0635974],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9804385,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003666562033457416,"score_gpt":0.2091969142046865,"score_spread":0.2055303521712291,"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."}}