{"id":"W2158574785","doi":"10.1177/2327857914031000","title":"Ecological Interface Design for Knee and Hip Automatic Physiotherapy Assistant and Rehabilitation System","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rehabilitation; Interface (matter); Domain (mathematical analysis); Computer science; Automation; Work (physics); Interface design; Process (computing); Human–computer interaction; User interface; Physical therapy; Physical medicine and rehabilitation; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850015,0.0001440779,0.0002450288,0.000109228,0.0001800482,0.00006814372,0.0001430312,0.00008327173,0.0000231874],"category_scores_gemma":[0.00008817403,0.0001075421,0.0000501553,0.00003417451,0.0000856863,0.00009413742,0.00004444579,0.0001249369,7.76651e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967826,"about_ca_system_score_gemma":0.00001412573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008894224,"about_ca_topic_score_gemma":0.00003291657,"domain_scores_codex":[0.9989175,0.00004402009,0.000500459,0.0002907655,0.0001055667,0.0001416659],"domain_scores_gemma":[0.9988163,0.000548764,0.0003769051,0.00007109044,0.0001273434,0.00005960442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002613278,0.0005955267,0.1903889,0.004600305,0.000305565,1.67356e-7,0.1143163,0.0004622657,0.007423652,0.6642349,0.004134273,0.01092494],"study_design_scores_gemma":[0.002722251,0.002840065,0.9520532,0.0009496501,0.00001742654,0.000008607845,0.01954791,0.01413993,0.0006175229,0.001418696,0.005341624,0.0003431236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965024,0.00004876888,0.00009820684,0.001231544,0.0005941897,0.0006242368,0.00002037398,0.00003608418,0.0008441745],"genre_scores_gemma":[0.9990097,0.00001093672,0.000500415,0.0002121615,0.00005826886,0.00009334478,0.000003904426,0.00001484397,0.00009648052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7616643,"threshold_uncertainty_score":0.4385441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878514652853744,"score_gpt":0.3558918906645616,"score_spread":0.3271067441360242,"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."}}