{"id":"W2011350558","doi":"10.1145/2702123.2702133","title":"Myopoint","year":2015,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inertial measurement unit; Computer science; Computer vision; Pointer (user interface); Accelerometer; Artificial intelligence; Inertial frame of reference; Acceleration; Physics","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":[0.000568344,0.0008682155,0.000411603,0.00104549,0.0004423121,0.001311156,0.001776395,0.00119572,0.2879249],"category_scores_gemma":[0.001611382,0.0004216933,0.0004526143,0.0006862506,0.0002373124,0.002037482,0.002261981,0.0005815632,0.1322857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092375,"about_ca_system_score_gemma":0.0002959814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004980388,"about_ca_topic_score_gemma":0.0009366267,"domain_scores_codex":[0.9995242,0.0000387689,0.00003256109,0.0001304584,0.0002270027,0.0000469984],"domain_scores_gemma":[0.99946,0.0001122469,0.00002745044,0.000151993,0.0001635467,0.00008476451],"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":[0.0007059006,0.0001043715,0.001129007,0.0008174827,0.0000364825,0.0004051544,0.0003115276,0.0006572217,0.03978517,0.01456551,0.179663,0.761819],"study_design_scores_gemma":[0.0001010654,0.0002275394,0.001702186,0.0001333263,0.00002668187,0.001150998,0.0000814086,0.00277959,0.01345573,0.00442502,0.9758735,0.00004284077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01247472,0.00315737,0.5017126,0.001402795,0.001659127,0.0009265325,0.008974137,0.06455902,0.4051336],"genre_scores_gemma":[0.08857363,0.002172491,0.2376898,0.002023825,0.0004507167,0.001353684,0.01373323,0.009820666,0.6441819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2879249,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06221301031689506,"score_gpt":0.2575772565151777,"score_spread":0.1953642461982826,"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."}}