{"id":"W2789385172","doi":"10.1088/1361-6579/aab994","title":"Influence of upper limb movement patterns on accelerometer measurements: a pediatric case series","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Toronto Rehabilitation Institute; Natural Sciences and Engineering Research Council of Canada; University Health Network","keywords":"Wrist; Accelerometer; Upper limb; Elbow; Physical medicine and rehabilitation; Trunk; Movement (music); Medicine; Computer science; Anatomy","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":[0.0004981211,0.0003210806,0.0004813132,0.0001446508,0.0001257858,0.00001401196,0.0001570315,0.0001038536,0.0005824001],"category_scores_gemma":[0.0002644095,0.0002227368,0.0002137033,0.0002514522,0.0001405841,0.0001169733,0.0001075445,0.0001866539,0.00009026554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492387,"about_ca_system_score_gemma":0.00005476314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007116966,"about_ca_topic_score_gemma":0.00003224779,"domain_scores_codex":[0.9972631,0.0001078842,0.0005482019,0.00051407,0.001114014,0.0004527313],"domain_scores_gemma":[0.998489,0.00002484296,0.0001898112,0.0004872909,0.0006123614,0.0001966427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002900625,0.005741026,0.3941629,0.000898732,0.0006912163,0.0001972895,0.0005505098,0.0002448862,0.5866279,0.0004390603,0.001867239,0.005678569],"study_design_scores_gemma":[0.00306116,0.01180383,0.8879767,0.0002612067,0.0002815211,0.00005817328,0.000273533,0.00001127547,0.0947445,0.0007081685,0.0003507888,0.0004691163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973975,0.00009484337,0.00002796196,0.0004091618,0.0001170875,0.0008427149,0.00001509917,0.00006552642,0.001030068],"genre_scores_gemma":[0.9964626,0.00009858765,0.00014249,0.002820661,0.0002800862,0.0001126518,0.000008066095,0.00002000332,0.00005479877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4938138,"threshold_uncertainty_score":0.9082943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032987841990249,"score_gpt":0.298687908471953,"score_spread":0.195389124272928,"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."}}