{"id":"W2031653428","doi":"10.1016/j.humov.2010.06.006","title":"Exploring children’s movement characteristics during virtual reality video game play","year":2010,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Movement (music); Psychology; Virtual reality; Motion (physics); Video game; Quality (philosophy); Applied psychology; Cognitive psychology; Physical medicine and rehabilitation; Multimedia; Computer science; Human–computer interaction; Artificial intelligence; Medicine","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":[0.0003807899,0.000342502,0.0002972338,0.0009397629,0.0002686091,0.0006992715,0.0003736953,0.0003813319,0.00190709],"category_scores_gemma":[0.004490848,0.0002031887,0.00026161,0.0005155919,0.0003903632,0.0003382266,0.0005993833,0.0004370583,0.0002737058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003832079,"about_ca_system_score_gemma":0.0002695403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075807,"about_ca_topic_score_gemma":0.01326694,"domain_scores_codex":[0.9995975,0.0000943983,0.00002419464,0.00007154886,0.0001013859,0.0001110008],"domain_scores_gemma":[0.9987062,0.0006512238,0.0002416962,0.0000345407,0.0001927538,0.0001735379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006851819,0.0009239531,0.5764331,0.001031878,0.0004662628,0.004649022,0.07362856,0.002473025,0.2327845,0.001303607,0.002298712,0.09715553],"study_design_scores_gemma":[0.00004184335,0.0007081931,0.9806767,0.00005385766,0.00007661597,0.001120418,0.008374158,0.001157198,0.00543841,0.0001046924,0.002197801,0.00005013259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975107,0.00007780756,0.000420776,0.00001613897,0.000004177155,0.00002969376,0.0002452955,0.0000126283,0.001682887],"genre_scores_gemma":[0.9977877,0.0001182771,0.0006920891,0.00001182735,0.000002864392,0.00006408559,0.00027681,0.00001128024,0.001035034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075807,"threshold_uncertainty_score":0.02139091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04957725515348623,"score_gpt":0.2894182913799816,"score_spread":0.2398410362264954,"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."}}