{"id":"W2010007259","doi":"10.1145/2556288.2557219","title":"Making big gestures","year":2014,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Gesture; Observability; Computer science; Identifiability; Human–computer interaction; Artificial intelligence; Machine learning; Mathematics","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":[0.0009490295,0.00117169,0.0004345444,0.0006709258,0.0006932609,0.001463393,0.0007091999,0.001049627,0.009168137],"category_scores_gemma":[0.01254933,0.0003813005,0.0004620311,0.0004141864,0.0009612884,0.003198475,0.002229999,0.0006449678,0.00244495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256649,"about_ca_system_score_gemma":0.0003783388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380668,"about_ca_topic_score_gemma":0.002108196,"domain_scores_codex":[0.9988419,0.0002441674,0.00009048308,0.0004038459,0.0003004986,0.0001190878],"domain_scores_gemma":[0.9931304,0.004352075,0.0006420909,0.001065869,0.0004908623,0.0003186265],"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":[0.001128275,0.0002123949,0.04248409,0.001063107,0.0001304573,0.001012119,0.01188443,0.003483057,0.3180348,0.004821969,0.003755581,0.6119897],"study_design_scores_gemma":[0.0001828547,0.002975639,0.472684,0.001514293,0.0006908924,0.008125356,0.02568641,0.04151337,0.272172,0.02876399,0.1450051,0.0006861693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7641332,0.001746623,0.1748716,0.0005653361,0.0002677695,0.0004873971,0.0007909939,0.003009788,0.05412727],"genre_scores_gemma":[0.9417344,0.0007270426,0.0465877,0.0001643108,0.00005046993,0.0001357675,0.0004310324,0.0002186468,0.009950453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009168137,"threshold_uncertainty_score":0.03067052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149231583524431,"score_gpt":0.2779437509777862,"score_spread":0.2264514351425419,"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."}}