{"id":"W3109488336","doi":"10.1016/j.humov.2020.102721","title":"Test-retest repeatability reveals a temporal kinematic signature for an upper limb precision grasping task in adults","year":2020,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Repeatability; Task (project management); Computer science; Motor control; Physical medicine and rehabilitation; Artificial intelligence; Simulation; Computer vision; Mathematics; Psychology; Statistics; Engineering; Medicine; Physics; Neuroscience","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":[0.002043969,0.0003646146,0.0004367414,0.0005428153,0.0003175279,0.0005473053,0.0003546995,0.00069845,0.0008355886],"category_scores_gemma":[0.01347628,0.0003434923,0.0003879076,0.0002893233,0.0004727406,0.0005649477,0.0005938629,0.0005264886,0.0006443856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792293,"about_ca_system_score_gemma":0.000222911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700547,"about_ca_topic_score_gemma":0.005840481,"domain_scores_codex":[0.9988795,0.0001638814,0.0001420332,0.0003736118,0.0003565589,0.000084461],"domain_scores_gemma":[0.9910734,0.003746169,0.001471472,0.001826541,0.001576391,0.0003059628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003344229,0.0007991553,0.7965742,0.0001913351,0.0008645026,0.0007235421,0.004402705,0.001394745,0.1341113,0.0002464676,0.001578943,0.05576892],"study_design_scores_gemma":[0.00001095486,0.0005646166,0.9966097,0.000003927067,0.00003522852,0.0002710453,0.00009727805,0.0003102226,0.001824672,0.00003747207,0.0002257712,0.00000920102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971529,0.0001159824,0.001510186,0.00001868053,0.00002453868,0.00004299405,0.0002321002,0.00006258975,0.0008400857],"genre_scores_gemma":[0.9980685,0.000038208,0.000706595,0.00002882994,0.0000123055,0.0000423016,0.0003698304,0.00003360505,0.0006999945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002700547,"threshold_uncertainty_score":0.01080966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05163267993357452,"score_gpt":0.3033058009277477,"score_spread":0.2516731209941732,"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."}}