{"id":"W2023118257","doi":"10.1007/s10846-004-7194-y","title":"Design Issues for Therapeutic Robot Systems: Results from a Survey of Physiotherapists","year":2005,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rehabilitation; Robot; Robotics; Human–computer interaction; Rehabilitation robotics; Physical medicine and rehabilitation; Artificial intelligence; Computer science; Psychology; Medicine; Physical therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01140499,0.000625156,0.0006610448,0.002031433,0.0009304038,0.002107725,0.0009894577,0.001610524,0.002871679],"category_scores_gemma":[0.04101499,0.0005645749,0.0005785818,0.002062139,0.001034466,0.002279151,0.0009389597,0.0007086638,0.000984368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116773,"about_ca_system_score_gemma":0.00189796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508525,"about_ca_topic_score_gemma":0.002705097,"domain_scores_codex":[0.9898392,0.004190531,0.0009245758,0.0006936769,0.003916267,0.0004356899],"domain_scores_gemma":[0.9538721,0.03678858,0.002854859,0.0008945045,0.005098398,0.0004914968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00069692,0.0005750545,0.06333553,0.003528109,0.0001429215,0.0003874683,0.005838134,0.008541115,0.007948155,0.007954004,0.004201297,0.8968513],"study_design_scores_gemma":[0.0008011365,0.009129047,0.3593834,0.007460897,0.001971582,0.01502612,0.04189913,0.06522405,0.04040888,0.04628553,0.4119635,0.0004466659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6212433,0.12812,0.1949534,0.008389675,0.0002419347,0.0007839604,0.0002883252,0.0002762067,0.04570316],"genre_scores_gemma":[0.8642786,0.05391811,0.07176037,0.001869959,0.0002458423,0.0005799644,0.0003858664,0.0001753325,0.006785993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140499,"threshold_uncertainty_score":0.06031609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09128589821561219,"score_gpt":0.3500938214218396,"score_spread":0.2588079232062274,"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."}}