{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002702395,0.00003486958,0.00003745858,0.00002373837,0.00001415459,0.00003168316,0.0002848458,0.00001149809,0.000649773],"category_scores_gemma":[0.000003564064,0.00002717889,0.00002805177,0.00006396259,0.000003606923,0.0003553932,0.0000780019,0.00003431864,0.0121242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008122335,"about_ca_system_score_gemma":0.000009498637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000907211,"about_ca_topic_score_gemma":4.711928e-7,"domain_scores_codex":[0.9996789,0.000007290541,0.00003847461,0.0001191546,0.00006294598,0.0000932833],"domain_scores_gemma":[0.9997084,0.00001934986,0.00001175814,0.0002074447,0.00003368468,0.00001940531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002701165,0.00003982626,0.00396475,0.000002999814,0.00001215265,0.000006266802,0.0002509115,0.000003003791,0.1237912,0.8445411,0.02566056,0.001724574],"study_design_scores_gemma":[0.000871844,0.0003839218,0.1949605,0.00002002599,0.000005399969,0.00005011481,0.0003453629,0.02831504,0.4637058,0.004381482,0.3063414,0.0006191777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0639983,0.00000901797,0.1661473,0.0004293233,0.0005908535,0.00007442828,2.006407e-7,0.00001967724,0.7687309],"genre_scores_gemma":[0.9781167,7.016578e-7,0.001797143,0.001749147,0.00001517195,0.000002115637,4.124661e-7,0.000001613004,0.01831698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9141184,"threshold_uncertainty_score":0.988645,"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."}}