{"id":"W4392934463","doi":"","title":"Kinematic variability and number of trials for studying sitting stability with spinal cord injury","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Kinematics; Spinal cord injury; Physical medicine and rehabilitation; Sitting; Stability (learning theory); Computer science; Spinal cord; Medicine; Physical therapy; Machine learning; Physics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01398394,0.0009756242,0.00208617,0.003547764,0.0006315238,0.002029787,0.001197088,0.001834476,0.005463813],"category_scores_gemma":[0.09940988,0.0003309636,0.00242002,0.003149117,0.0007589184,0.001910829,0.001032222,0.001229089,0.0007656318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153221,"about_ca_system_score_gemma":0.0006213718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000930153,"about_ca_topic_score_gemma":0.001287048,"domain_scores_codex":[0.9902897,0.004266671,0.001942972,0.001410144,0.001821834,0.0002685645],"domain_scores_gemma":[0.8861089,0.08902026,0.01465428,0.004066318,0.004523428,0.001626834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007668206,0.0003361714,0.9225006,0.0007996266,0.004946204,0.0001942865,0.0003387053,0.003964579,0.002585136,0.0002585589,0.0008644657,0.05554342],"study_design_scores_gemma":[0.0001145245,0.002866511,0.9850675,0.0001547037,0.0006848663,0.000614948,0.0002763506,0.008334278,0.0005984115,0.0007768005,0.0004511036,0.00006019569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628388,0.00649737,0.02162569,0.0004461329,0.000243148,0.000462848,0.00462018,0.0002957008,0.00297016],"genre_scores_gemma":[0.9927375,0.0004935318,0.00417847,0.00006358501,0.0001323023,0.0005464452,0.001078764,0.00007699321,0.0006923025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398394,"threshold_uncertainty_score":0.073955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09117326958334616,"score_gpt":0.3778838693435833,"score_spread":0.2867105997602371,"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."}}