{"id":"W4402715676","doi":"10.33137/cpoj.v7i1.43790","title":"EXPLORING FACTORS FOR PRESCRIPTION AND VALIDATION OF ACTUATED UPPER LIMB DEVICES: A CROSS-SECTIONAL SURVEY OF ALLIED HEALTH PROFESSIONALS","year":2024,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Thematic analysis; Medicine; Assistive technology; Cross-sectional study; Medical prescription; Assistive device; Health care; Psychology; Physical medicine and rehabilitation; Nursing; Qualitative research; Computer science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007471887,0.0001917669,0.0003677259,0.001448155,0.001065123,0.0009870436,0.0005045728,0.0009716012,0.002066059],"category_scores_gemma":[0.01710461,0.0005427545,0.0004807055,0.001723302,0.0006648562,0.001089035,0.00124422,0.0009045631,0.0003705978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092321,"about_ca_system_score_gemma":0.002441175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190505,"about_ca_topic_score_gemma":0.0187467,"domain_scores_codex":[0.9964299,0.001084295,0.0006456036,0.0002669968,0.000916742,0.000656531],"domain_scores_gemma":[0.9850869,0.005037935,0.005564116,0.0004246712,0.002282522,0.001603785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001847297,0.00008718293,0.9940096,0.00007858733,0.00001181088,0.00006573661,0.003769069,0.00001309449,0.0001330026,0.00001813422,0.0002154623,0.00157982],"study_design_scores_gemma":[0.000004415221,0.000181947,0.9850472,0.0000861551,0.000009775075,0.0001472855,0.01386923,0.0001474903,0.00005524032,0.00001436346,0.0004310209,0.000005750571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986826,0.0001297686,0.00009986081,0.0004031288,0.000006121978,0.00005418083,0.0001652862,0.000002656922,0.0004564648],"genre_scores_gemma":[0.9990606,0.000205904,0.0001903276,0.0002335025,0.000006885789,0.00007002184,0.000124476,0.000001208991,0.0001070489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190505,"threshold_uncertainty_score":0.03951561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09840196907410749,"score_gpt":0.3139311272771438,"score_spread":0.2155291582030364,"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."}}