{"id":"W2025063706","doi":"10.1088/0967-3334/36/5/1025","title":"Evaluation of a portable markerless finger position capture device: accuracy of the Leap Motion controller in healthy adults","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Heart and Stroke Foundation of Canada","keywords":"Motion capture; Motion (physics); Computer science; Reliability (semiconductor); Computer vision; Artificial intelligence; Position (finance); Controller (irrigation); Root mean square; Simulation; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002457346,0.0000904355,0.0003003095,0.00005085787,0.00001927942,0.000002219272,0.000054913,0.00008691705,0.00004387023],"category_scores_gemma":[0.002422343,0.0000502054,0.0001151328,0.0001754803,0.00004819942,0.00004719491,0.00001683292,0.0001255529,0.000002745044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000350488,"about_ca_system_score_gemma":0.0002458593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180574,"about_ca_topic_score_gemma":0.00002829469,"domain_scores_codex":[0.9975583,0.0005187992,0.0004001325,0.0001712865,0.00122705,0.0001244098],"domain_scores_gemma":[0.9979466,0.00008145869,0.000248391,0.0001603127,0.001503267,0.0000599262],"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":[0.03953647,0.01067751,0.1970991,0.002179859,0.0005818108,0.000002853704,0.004782496,0.01960156,0.5980552,0.0006015339,0.004543648,0.1223379],"study_design_scores_gemma":[0.006479937,0.0007330356,0.9849185,0.0004617629,0.0001149415,0.000001936847,0.0006397255,0.004183946,0.001665994,0.00070442,0.00003253754,0.00006329467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960627,0.0009258688,0.000057975,0.001058739,0.0001735689,0.001190599,0.000004177909,0.000007827467,0.0005185431],"genre_scores_gemma":[0.9995328,0.00001498556,0.0000799113,0.0002373985,0.00004369322,0.00007351642,0.000008142179,0.000004315264,0.000005261754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7878193,"threshold_uncertainty_score":0.2899946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520711921359034,"score_gpt":0.3498584731038515,"score_spread":0.1977872809679481,"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."}}