{"id":"W4399695370","doi":"10.1145/3658230","title":"NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air Interactions","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Muscle fatigue; Computer science; Metric (unit); Gesture; Task (project management); Physical medicine and rehabilitation; Simulation; Artificial intelligence; Engineering; Electromyography; Medicine","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":[0.001405339,0.001392983,0.0008781558,0.002103715,0.0002457333,0.0007653824,0.0009783631,0.0009230631,0.001889453],"category_scores_gemma":[0.006064008,0.0004243687,0.00108669,0.0007827362,0.0005019885,0.00137265,0.001059602,0.0005683161,0.000841912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579041,"about_ca_system_score_gemma":0.0004238898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004173224,"about_ca_topic_score_gemma":0.006095334,"domain_scores_codex":[0.9990467,0.0001831031,0.0000943975,0.0002269992,0.0003776833,0.00007106739],"domain_scores_gemma":[0.9980134,0.0008236425,0.0003829006,0.0002158566,0.0004575973,0.0001067183],"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":[0.001508646,0.0005447227,0.05988954,0.00175046,0.0006668347,0.0003828676,0.001078185,0.1909463,0.1545627,0.002347713,0.008087795,0.5782343],"study_design_scores_gemma":[0.00005013131,0.001378716,0.07660827,0.0001152838,0.0002247163,0.000877851,0.0001705137,0.8987884,0.01487923,0.001520308,0.005171111,0.0002155008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1951321,0.002572951,0.7917135,0.0002538627,0.0001711166,0.0002351176,0.001591794,0.004715267,0.003614319],"genre_scores_gemma":[0.8639042,0.000729304,0.1292844,0.0001977937,0.00009844382,0.0003626355,0.001762749,0.0003986785,0.00326161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004173224,"threshold_uncertainty_score":0.008297861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325565326102278,"score_gpt":0.3003441657631016,"score_spread":0.2677876331528738,"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."}}