{"id":"W2897591615","doi":"10.2196/11748","title":"Use of a Low-Cost, Chest-Mounted Accelerometer to Evaluate Transfer Skills of Wheelchair Users During Everyday Activities: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Accelerometer; Context (archaeology); Wheelchair; Wearable computer; Transfer of learning; Computer science; Machine learning; Support vector machine; Transfer (computing); Artificial intelligence; Simulation; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005828948,0.0006752181,0.0005681734,0.0008024662,0.0004513223,0.0003533136,0.0003084724,0.0007187736,0.0007409383],"category_scores_gemma":[0.002565367,0.0002312715,0.000518848,0.0004037578,0.0003633917,0.0004142942,0.0004468705,0.0004550983,0.0004460149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193596,"about_ca_system_score_gemma":0.0003011858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003523432,"about_ca_topic_score_gemma":0.005613264,"domain_scores_codex":[0.9995219,0.000152946,0.00006023069,0.00009197423,0.0001055063,0.00006758891],"domain_scores_gemma":[0.998723,0.000265585,0.0002653561,0.0001199943,0.0004365409,0.0001895058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000515691,0.00313748,0.9630322,0.0001939206,0.0002248395,0.0004854681,0.002427918,0.0003444847,0.008713763,0.00002552677,0.0003606357,0.02053802],"study_design_scores_gemma":[0.00002911334,0.003955421,0.9918697,0.00002319951,0.00008018994,0.0003340999,0.001458587,0.001050502,0.0008327099,0.0000218816,0.0003263564,0.00001817436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990976,0.00003309642,0.000549653,0.00000692844,0.000003708477,0.00006477511,0.0001152641,0.000006047053,0.0001229387],"genre_scores_gemma":[0.9986446,0.00004855076,0.0007609617,0.00002011035,0.000009444192,0.0001057908,0.0002075653,0.000003494661,0.0001994317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003523432,"threshold_uncertainty_score":0.00700587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058149964222788,"score_gpt":0.413686039644476,"score_spread":0.3078710432221972,"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."}}