{"id":"W2343157097","doi":"10.5220/0005785104000405","title":"A Development Methodology for a Stroke Rehabilitation Monitoring Application","year":2016,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rehabilitation; Computer science; Stroke (engine); Physical medicine and rehabilitation; Medicine; Engineering; Physical therapy; Aerospace engineering","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":[0.003332098,0.0007959487,0.0004623821,0.001260328,0.0006789144,0.001788803,0.001503347,0.0009915384,0.006432492],"category_scores_gemma":[0.008348899,0.0007456071,0.0009184977,0.0006779003,0.0005160883,0.001407407,0.001933546,0.00134596,0.002480998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418496,"about_ca_system_score_gemma":0.002423665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424125,"about_ca_topic_score_gemma":0.00169016,"domain_scores_codex":[0.9971744,0.0006741947,0.0003174939,0.0005134136,0.001165651,0.0001548436],"domain_scores_gemma":[0.9957638,0.001190293,0.0002419481,0.0006542992,0.002013604,0.0001360845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002438248,0.000488351,0.0090794,0.001208539,0.0001344196,0.001208199,0.001978888,0.01461393,0.09978414,0.05669646,0.01514366,0.7994202],"study_design_scores_gemma":[0.0001791994,0.000923544,0.007698732,0.0006863324,0.000267179,0.004011128,0.00111251,0.4273486,0.2181967,0.03628293,0.3031478,0.0001452886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003631995,0.00003711119,0.9901881,0.0001009239,0.00002565295,0.0004478713,0.0001032188,0.002906974,0.002558249],"genre_scores_gemma":[0.04294687,0.00008931868,0.9507074,0.00008216019,0.00001705952,0.0004911062,0.0003453914,0.0005726378,0.004748018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006432492,"threshold_uncertainty_score":0.02151889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06700110688980893,"score_gpt":0.3705919831060643,"score_spread":0.3035908762162554,"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."}}