{"id":"W7020861799","doi":"","title":"Motion Tracking Glove for Human-Machine Interaction: Grasp & Release","year":2014,"lang":"en","type":"other","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wired glove; Microcontroller; Robotic arm; Analog signal; Robot; Wearable computer; Signal conditioning; Inertial measurement unit; SIGNAL (programming language); Accelerometer","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":[0.001098756,0.001302555,0.0008532164,0.001161773,0.0003689326,0.001262402,0.001437325,0.001228597,0.2649704],"category_scores_gemma":[0.001943096,0.000588881,0.000537811,0.000612174,0.0003721874,0.001531898,0.001629961,0.001074616,0.189137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153473,"about_ca_system_score_gemma":0.0004516784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007724914,"about_ca_topic_score_gemma":0.0008745298,"domain_scores_codex":[0.9991123,0.00007681674,0.00007991654,0.0001229106,0.0005423591,0.00006563494],"domain_scores_gemma":[0.9989268,0.0001627509,0.00007062001,0.000270685,0.0005124104,0.00005675495],"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":[0.0004147877,0.0001478314,0.0004591732,0.0007969701,0.00005049333,0.0004489477,0.0002124888,0.0007413747,0.09256057,0.005587679,0.3014798,0.5970998],"study_design_scores_gemma":[0.000134071,0.0004020934,0.004246222,0.0003706558,0.00004475863,0.001844708,0.00006666198,0.008164639,0.08412631,0.002051775,0.8984137,0.0001344553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01013805,0.00380612,0.6634455,0.001166915,0.001318057,0.002180389,0.01070858,0.1163471,0.1908894],"genre_scores_gemma":[0.06962366,0.002894729,0.150538,0.001859703,0.0002720093,0.00281737,0.01322235,0.01185273,0.7469195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2649704,"threshold_uncertainty_score":0.8864142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675791665824789,"score_gpt":0.2484801957653962,"score_spread":0.2217222791071483,"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."}}