{"id":"W4400145689","doi":"10.22306/atec.v10i2.203","title":"Development of a robotic handwriting assistant for children with movement disorder","year":2024,"lang":"en","type":"article","venue":"Acta Tecnología","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Handwriting; Movement (music); Psychology; Computer science; Human–computer interaction; Physical medicine and rehabilitation; Artificial intelligence; Communication; Medicine; Art","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":[0.0007062999,0.0003920362,0.0002498447,0.0003489559,0.0003503888,0.000412522,0.0008186487,0.0004909798,0.002596723],"category_scores_gemma":[0.001161994,0.0001978757,0.00039952,0.0001234018,0.0003510306,0.0004994951,0.000896838,0.0003830283,0.0006233752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813854,"about_ca_system_score_gemma":0.001201156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182275,"about_ca_topic_score_gemma":0.001779348,"domain_scores_codex":[0.9996138,0.00007679463,0.0000412238,0.0000861946,0.0001378404,0.00004409709],"domain_scores_gemma":[0.9995307,0.0001220991,0.0000613739,0.00005005157,0.0001486322,0.00008723865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003836769,0.001005511,0.01778955,0.001015533,0.00005289838,0.00566837,0.00382097,0.00321051,0.1815986,0.003198212,0.00616983,0.7760863],"study_design_scores_gemma":[0.0008840624,0.02904826,0.1437577,0.0009370982,0.0004334915,0.0650023,0.008655566,0.0542411,0.3022512,0.002903873,0.391427,0.0004583646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6751465,0.0007287562,0.2966211,0.0008673802,0.0002347918,0.001916516,0.0004359806,0.004675197,0.01937379],"genre_scores_gemma":[0.4998725,0.0006418595,0.4821033,0.0001788015,0.00002130191,0.0008238701,0.0003676477,0.0001556408,0.01583514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002596723,"threshold_uncertainty_score":0.00868696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05307113748846897,"score_gpt":0.388738606764751,"score_spread":0.335667469276282,"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."}}