{"id":"W3107807409","doi":"10.1186/s12938-020-00839-3","title":"3-Dimensional printing in rehabilitation: feasibility of printing an upper extremity gross motor function assessment tool","year":2021,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Rehabilitation; Test (biology); Physical medicine and rehabilitation; Function (biology); Computer science; Margin (machine learning); Physical therapy; Medicine; Medical physics; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02141152,0.0007343038,0.0003194197,0.0006841733,0.0003782814,0.0009160253,0.001052151,0.001165445,0.00296618],"category_scores_gemma":[0.04839123,0.000358306,0.0008318512,0.0003652389,0.0009031055,0.001306698,0.001295572,0.0005511839,0.001182785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138692,"about_ca_system_score_gemma":0.001247131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854919,"about_ca_topic_score_gemma":0.002996143,"domain_scores_codex":[0.9881502,0.006015431,0.001047615,0.0007663185,0.003675309,0.0003451539],"domain_scores_gemma":[0.9794602,0.01281552,0.00184142,0.001435898,0.003910723,0.0005362097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005074967,0.002739037,0.588264,0.0005490889,0.0001300966,0.0008217915,0.004519515,0.002765797,0.0290773,0.0003716801,0.001985229,0.3637014],"study_design_scores_gemma":[0.000940169,0.02876544,0.9102791,0.0004955413,0.0002450769,0.002853926,0.002701859,0.02238513,0.02102416,0.0007300355,0.009397451,0.0001820989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772668,0.0002951951,0.01676255,0.0004286079,0.00007219621,0.002148096,0.0002678808,0.0001390598,0.002619648],"genre_scores_gemma":[0.969069,0.0001268326,0.02939569,0.0001047493,0.00002828064,0.0007051352,0.0001599375,0.00002441229,0.0003860129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02141152,"threshold_uncertainty_score":0.1132363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735460084437575,"score_gpt":0.3094250727467269,"score_spread":0.2920704719023511,"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."}}