{"id":"W2560648892","doi":"10.1109/jbhi.2016.2636748","title":"Interaction Detection in Egocentric Video: Toward a Novel Outcome Measure for Upper Extremity Function","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":20,"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":"Computer science; Artificial intelligence; Computer vision; Preprocessor; Wearable computer; Random forest; Classifier (UML); Pattern recognition (psychology)","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":[0.001341685,0.0000858126,0.0003274352,0.0004908866,0.00004681906,0.00001023506,0.00003009477,0.0001211312,0.00001805779],"category_scores_gemma":[0.000470906,0.00004709967,0.0001215764,0.0001717232,0.00005118235,0.0002894197,0.000006099878,0.000216497,0.000003350943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570211,"about_ca_system_score_gemma":0.0002105277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008982871,"about_ca_topic_score_gemma":0.000008187681,"domain_scores_codex":[0.9981319,0.0000204903,0.001280996,0.00005070875,0.0003358111,0.0001800597],"domain_scores_gemma":[0.9986815,0.0002160302,0.0005638447,0.00005417691,0.0002025233,0.0002818573],"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":[0.001403332,0.0003193253,0.04783894,0.001497082,0.00005427894,0.000001273598,0.001267324,0.000001747459,0.001864489,0.00002661821,0.001828138,0.9438974],"study_design_scores_gemma":[0.02721189,0.008889948,0.7716556,0.003976413,0.0001706982,0.001705006,0.004404698,0.005371821,0.0007005745,0.0004590945,0.1751253,0.0003290078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5268543,0.0002308206,0.4558947,0.01419452,0.002393194,0.0003764733,0.000009932251,0.0000123152,0.00003373759],"genre_scores_gemma":[0.9946758,0.0004118024,0.003126489,0.001314163,0.0004181505,0.000005152865,0.000001557287,0.00000582028,0.00004102945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9435684,"threshold_uncertainty_score":0.1920669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06654961789196306,"score_gpt":0.3521570402888409,"score_spread":0.2856074223968778,"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."}}