{"id":"W3197265477","doi":"10.1080/08990220.2021.1973403","title":"Sensing hand position in Ehlers-Danlos syndrome","year":2021,"lang":"en","type":"article","venue":"Somatosensory & Motor Research","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ehlers–Danlos syndrome; Position (finance); Computer science; Medicine; Dermatology; Business","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":[0.0008221671,0.0001669322,0.0002114305,0.0003020176,0.0002719504,0.0001132573,0.0002098011,0.000287505,0.000107821],"category_scores_gemma":[0.0009071898,0.0001905817,0.00009846338,0.0006007795,0.0003277413,0.000009967981,0.0003617164,0.0006443472,0.0001666293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069658,"about_ca_system_score_gemma":0.0003935011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334692,"about_ca_topic_score_gemma":0.0002835674,"domain_scores_codex":[0.9967392,0.0008786983,0.0002379831,0.0006966993,0.0006652752,0.0007821363],"domain_scores_gemma":[0.9984703,0.0001029968,0.00002714643,0.0006224594,0.0006118087,0.0001652648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001053106,0.0001322871,0.004729908,0.00006625512,0.00003911149,0.0009701671,0.0001183249,0.000008260294,0.9910794,0.0001142779,0.0006092298,0.002027487],"study_design_scores_gemma":[0.001600388,0.0004029597,0.04564879,0.0001421271,0.00000546325,0.0009683238,0.001800497,0.0004190322,0.9404606,0.0005900577,0.007574616,0.0003871029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944795,0.001778658,0.00007892384,0.0007948223,0.00006728358,0.000444495,0.00002112624,0.00001490831,0.002320281],"genre_scores_gemma":[0.9946402,0.0001752938,0.0002684399,0.00006960495,0.00009367691,0.00002723643,0.0001077368,0.00004897929,0.00456881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05061873,"threshold_uncertainty_score":0.7771695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05268618982737212,"score_gpt":0.3691954139157859,"score_spread":0.3165092240884138,"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."}}