{"id":"W4402305493","doi":"10.2196/preprints.57588","title":"Feasibility of At-Home Hand Arm Bimanual Intensive Training in Virtual Reality: Case Study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Virtual reality; Training (meteorology); Physical medicine and rehabilitation; Psychology; Computer science; Human–computer interaction; Medicine; Geography; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"case_report","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274467,0.0006687903,0.0003758764,0.0005024105,0.001593629,0.0007852326,0.001305935,0.002163533,0.002605838],"category_scores_gemma":[0.006269436,0.0003933723,0.0006728266,0.0003401289,0.0007740013,0.0006970211,0.0008071232,0.001057326,0.0006287867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007844836,"about_ca_system_score_gemma":0.0006635009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005042569,"about_ca_topic_score_gemma":0.007716463,"domain_scores_codex":[0.9985702,0.0006813973,0.0001395083,0.0001688466,0.0002144279,0.0002255697],"domain_scores_gemma":[0.9979655,0.001061998,0.0003211609,0.0001561127,0.0001477418,0.0003474794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.001176646,0.01488017,0.08370352,0.0006894916,0.0001495314,0.8052673,0.02058662,0.001464769,0.007299794,0.001070163,0.003352134,0.06035991],"study_design_scores_gemma":[0.0003925394,0.02262317,0.08300097,0.0001975982,0.0001518498,0.8566065,0.01514042,0.004490919,0.008566807,0.0003633028,0.008316351,0.0001494919],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948515,0.0001719713,0.001747,0.000269019,0.00002344874,0.0002550643,0.00005067044,0.00002728915,0.00260395],"genre_scores_gemma":[0.993676,0.0002516318,0.003638494,0.000228914,0.00004893066,0.0002125931,0.00005964321,0.00001917114,0.0018646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005042569,"threshold_uncertainty_score":0.01002645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09547733641756405,"score_gpt":0.3646890909532524,"score_spread":0.2692117545356883,"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."}}