{"id":"W3189641825","doi":"10.1101/2021.04.09.439251","title":"Sensing hand position in Ehlers-Danlos Syndrome","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proprioception; Joint hypermobility; Afferent; Ehlers–Danlos syndrome; Efferent; Physical medicine and rehabilitation; Hand position; Medicine; Psychology; Computer science; Artificial intelligence; Anatomy; Surgery","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":[0.0003309901,0.0007130461,0.0003971845,0.000914958,0.0001649721,0.0003333999,0.0002072051,0.0003809762,0.002142058],"category_scores_gemma":[0.001672823,0.0001678268,0.0001556656,0.000302818,0.0005324802,0.0002357646,0.0004763817,0.000317795,0.0001832699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945572,"about_ca_system_score_gemma":0.0001128245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844666,"about_ca_topic_score_gemma":0.001014963,"domain_scores_codex":[0.9997099,0.00006891004,0.00004790113,0.0000920642,0.00005900324,0.00002215499],"domain_scores_gemma":[0.9993464,0.000276525,0.000232688,0.00003651671,0.00004553741,0.00006232553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005833055,0.000315047,0.7049696,0.000495053,0.000411412,0.0163173,0.001155324,0.0025144,0.1987094,0.0006364124,0.0005811308,0.06806181],"study_design_scores_gemma":[0.0001118664,0.001224927,0.9518516,0.00007120422,0.0001401068,0.0255515,0.0005833336,0.003003577,0.01582184,0.0009585043,0.0006480162,0.000033507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988117,0.0002744735,0.0004352124,0.00003929067,0.000003790611,0.000003805497,0.0001000787,0.00001119783,0.0003203869],"genre_scores_gemma":[0.9991028,0.0001371838,0.000346658,0.00002382724,0.000004124096,0.000004416726,0.00006394866,0.000003643607,0.0003132959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002142058,"threshold_uncertainty_score":0.007165968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378780563489035,"score_gpt":0.2477759294769756,"score_spread":0.2339881238420853,"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."}}