{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002378355,0.0006656674,0.0004780783,0.000587939,0.0001625609,0.0004309507,0.0005705614,0.0008880346,0.0006850933],"category_scores_gemma":[0.01243311,0.0002739433,0.0002480068,0.0002874476,0.0003567849,0.0004260699,0.0004793223,0.0002950899,0.0003533978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560889,"about_ca_system_score_gemma":0.0001777921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126759,"about_ca_topic_score_gemma":0.00190905,"domain_scores_codex":[0.997839,0.0005856498,0.0002665768,0.000499055,0.000727952,0.00008174174],"domain_scores_gemma":[0.9926586,0.003473355,0.001103356,0.0003691572,0.002170383,0.0002252792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004461217,0.0006699976,0.7869318,0.0004840972,0.000271751,0.001051465,0.002754201,0.0009730964,0.1067817,0.00009493221,0.0006594071,0.09486654],"study_design_scores_gemma":[0.0001233222,0.01126936,0.9595929,0.00004519294,0.0001983426,0.003163019,0.0006331872,0.006191344,0.01799859,0.00005491738,0.0006911262,0.0000385744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935684,0.0003764837,0.005358762,0.00003524812,0.00001825051,0.00006450059,0.0001602632,0.00006175562,0.0003563864],"genre_scores_gemma":[0.9956264,0.0001200632,0.003776035,0.00005201505,0.00001316417,0.00003992006,0.0001277547,0.00001000825,0.0002345813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002378355,"threshold_uncertainty_score":0.01257813,"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."}}