{"id":"W4383747425","doi":"10.1109/memea57477.2023.10171866","title":"Decision Tree Machine Learning to Determine Direction of Steering Force for Hospital Bed Push Handle System","year":2023,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Random forest; Decision tree; Computer science; Artificial intelligence; Mechatronics; Transfer of learning; Tree (set theory); Classifier (UML); Machine learning; Simulation; Work (physics); Engineering; Mathematics; Mechanical 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":[0.00169295,0.001041881,0.000874164,0.001164993,0.0004640166,0.0006243592,0.0006521135,0.0009544179,0.001571832],"category_scores_gemma":[0.00372304,0.0002711006,0.0007577337,0.0005422609,0.0001990197,0.0005281269,0.0002955855,0.0009344541,0.00064432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005665735,"about_ca_system_score_gemma":0.0008895582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008878023,"about_ca_topic_score_gemma":0.006571365,"domain_scores_codex":[0.9990988,0.0002425693,0.00008800179,0.0001778786,0.0002432557,0.00014954],"domain_scores_gemma":[0.9976867,0.001388198,0.0001473274,0.00007653242,0.0006322801,0.00006892777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006850126,0.0005685055,0.01827755,0.0001557958,0.0001224787,0.00022466,0.0001058806,0.540399,0.007807672,0.0008481984,0.004159695,0.4266456],"study_design_scores_gemma":[0.00001207101,0.0000922042,0.001357825,0.00000993021,0.000009269171,0.00002185302,0.00002011768,0.9964834,0.001394421,0.0004188655,0.0001713384,0.000008687217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2629887,0.0007666553,0.7290311,0.0004263886,0.0001876445,0.0003085818,0.0007266469,0.00256337,0.003000996],"genre_scores_gemma":[0.9118935,0.0001280245,0.08529205,0.0001144964,0.00003799213,0.0001798311,0.0008216352,0.00003596138,0.001496586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008878023,"threshold_uncertainty_score":0.01765269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035757630657752,"score_gpt":0.216642899299947,"score_spread":0.2062853229933694,"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."}}