{"id":"W4322101891","doi":"10.1016/j.jhsg.2023.01.016","title":"Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application","year":2023,"lang":"en","type":"article","venue":"Journal of Hand Surgery Global Online","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada; London Health Sciences Centre","keywords":"Intraclass correlation; Computer science; Confidence interval; Interval (graph theory); Numerical digit; Correlation coefficient; Range (aeronautics); Computer vision; Simulation; Artificial intelligence; Statistics; Mathematics; Engineering; Reproducibility; Arithmetic; Machine learning","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":[0.003164117,0.0006851782,0.0004888519,0.001131042,0.000141339,0.000697325,0.0005983795,0.0005323351,0.007521836],"category_scores_gemma":[0.004806522,0.000225503,0.0004962104,0.0002772548,0.000221541,0.0006947768,0.001543643,0.0003917229,0.002122771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728354,"about_ca_system_score_gemma":0.0002826898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000326921,"about_ca_topic_score_gemma":0.000785767,"domain_scores_codex":[0.998331,0.0005936222,0.000187824,0.0002967232,0.0005138028,0.00007713502],"domain_scores_gemma":[0.9967915,0.001507479,0.0004218517,0.0003175509,0.0006740663,0.0002875045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008443757,0.002269015,0.08826087,0.001807263,0.0004248513,0.00189563,0.0007948971,0.003073199,0.08762556,0.000666794,0.01031875,0.7944195],"study_design_scores_gemma":[0.001625373,0.01109136,0.7178668,0.001300476,0.0007954897,0.01636824,0.000755334,0.05423936,0.1499175,0.002328323,0.04325882,0.0004529111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971597,0.003012455,0.1633118,0.0005247649,0.0003052037,0.003149571,0.004077337,0.0140098,0.01444926],"genre_scores_gemma":[0.8280849,0.0008281255,0.1582309,0.0005854736,0.0002058156,0.001996586,0.002059316,0.0004460242,0.007562857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007521836,"threshold_uncertainty_score":0.02516305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07177013093087162,"score_gpt":0.3778501762891478,"score_spread":0.3060800453582762,"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."}}