{"id":"W1975613726","doi":"10.1145/2470654.2466143","title":"Learning and performance with gesture guides","year":2013,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Council; Alberta Innovates - Technology Futures","keywords":"Gesture; Computer science; Recall; Human–computer interaction; Gesture recognition; Artificial intelligence; Cognitive psychology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002470823,0.0009319222,0.000762332,0.0007384374,0.0002209255,0.001121921,0.0009481559,0.001796114,0.002287156],"category_scores_gemma":[0.02021299,0.0003040043,0.0004624874,0.0003205711,0.0009350815,0.001695107,0.001598634,0.000822339,0.001276244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342314,"about_ca_system_score_gemma":0.0004897323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592377,"about_ca_topic_score_gemma":0.00150689,"domain_scores_codex":[0.9979253,0.0005906123,0.0002389933,0.0004505318,0.0005272125,0.0002673052],"domain_scores_gemma":[0.990582,0.00533589,0.0007365919,0.001515221,0.001101148,0.0007291186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007667996,0.005187832,0.03060068,0.001218033,0.0002633276,0.0005315213,0.0061237,0.015033,0.4846467,0.0005597873,0.00171856,0.4464489],"study_design_scores_gemma":[0.0005400231,0.09881161,0.209321,0.0003307703,0.0004662593,0.001789837,0.003126445,0.06714035,0.6032717,0.003432781,0.01128755,0.0004817637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903228,0.0001953704,0.007369809,0.00003381784,0.00001742574,0.0001358499,0.0001061019,0.00034165,0.00147724],"genre_scores_gemma":[0.9803797,0.000280909,0.0115586,0.00007224207,0.0000129565,0.0002626075,0.0004233287,0.0001226499,0.006887078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002470823,"threshold_uncertainty_score":0.01306713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976143268115245,"score_gpt":0.2496330432442077,"score_spread":0.2298716105630552,"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."}}