{"id":"W2008465527","doi":"10.1155/2012/576478","title":"Gait Symmetry in Children with Autism","year":2012,"lang":"en","type":"article","venue":"Autism Research and Treatment","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Autism; Symmetry (geometry); Gait; Artificial intelligence; Algorithm; Motion capture; Motion (physics); Computer science; Psychology; Physical medicine and rehabilitation; Mathematics; Medicine; Geometry; Developmental psychology","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":[0.000228504,0.0001246444,0.000184313,0.0002093228,0.0000991161,0.00001691999,0.00003294137,0.00005605538,0.0001471783],"category_scores_gemma":[0.000009614447,0.00008064187,0.00002622784,0.00024982,0.0001302949,0.00009741748,0.00003676503,0.0001614134,0.00005840476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395783,"about_ca_system_score_gemma":0.00006507074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227765,"about_ca_topic_score_gemma":0.0002717173,"domain_scores_codex":[0.9987269,0.00004843915,0.0001054937,0.0002071641,0.0002986547,0.0006133576],"domain_scores_gemma":[0.9994376,0.00004323631,0.0000137922,0.0001955666,0.0000106556,0.0002991137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001357973,0.001061377,0.9558595,0.00001030675,0.0001700376,0.00002585071,0.0003144629,8.645397e-8,0.00005238464,0.01209175,0.0001451242,0.0301333],"study_design_scores_gemma":[0.004217915,0.001889762,0.9905145,0.00004975536,0.00002792852,0.00005631535,0.0001350759,0.000004193295,0.0002646609,0.000881091,0.001876874,0.00008199205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852936,0.003154117,0.000003504441,0.003183258,0.0000156477,0.0007889131,0.000006747005,0.00002238011,0.007531865],"genre_scores_gemma":[0.9959225,0.001162205,0.0001376302,0.0001054875,0.00002610448,0.00009613798,0.00004531375,0.00001402843,0.002490608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03465491,"threshold_uncertainty_score":0.3367728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090323298454482,"score_gpt":0.3353071215151044,"score_spread":0.2944038885305595,"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."}}