{"id":"W2891974435","doi":"10.1186/s12984-019-0557-1","title":"Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home","year":2019,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Rick Hansen Institute","keywords":"Wearable computer; Computer science; Artificial intelligence; Spinal cord injury; Frame (networking); Computer vision; Physical medicine and rehabilitation; Spinal cord; Psychology; Medicine","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":[0.0003347065,0.0004662304,0.0002995332,0.002153979,0.0001292746,0.0004486632,0.0003610684,0.0003499655,0.002023497],"category_scores_gemma":[0.001279089,0.0001303795,0.0002026812,0.0008468445,0.0001246895,0.0004641956,0.000494681,0.000163808,0.0004220564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742017,"about_ca_system_score_gemma":0.0002653181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025966,"about_ca_topic_score_gemma":0.008775536,"domain_scores_codex":[0.9997219,0.0000572276,0.00001772372,0.00008471737,0.0000929687,0.00002537169],"domain_scores_gemma":[0.9994076,0.0001403949,0.0001326243,0.00003157182,0.0002323196,0.00005541673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001928969,0.0003662955,0.1121822,0.0008138749,0.000226404,0.0004713133,0.001216821,0.003395915,0.143724,0.0007120722,0.006435761,0.7285264],"study_design_scores_gemma":[0.000129549,0.001958456,0.8322995,0.0002526481,0.0003392228,0.003609454,0.001299808,0.09679458,0.04787835,0.0008747788,0.01437302,0.0001906312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952892,0.001043186,0.1898187,0.000161706,0.00008962796,0.0006162887,0.005668479,0.002329441,0.004983498],"genre_scores_gemma":[0.8272051,0.0007180595,0.1661845,0.0001557335,0.0001060534,0.0005580373,0.002392694,0.0001205912,0.002559299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003025966,"threshold_uncertainty_score":0.00676924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309317785080067,"score_gpt":0.3086624189534076,"score_spread":0.285569241102607,"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."}}