{"id":"W4396792773","doi":"10.3233/jnd-230091","title":"E-Health & Innovation to Overcome Barriers in Neuromuscular Diseases. Report from the 3rd eNMD Congress: Pisa, Italy, 29–30 October 2021: Remote Monitoring: New Solutions for New Avenues in Neuromuscular Disorders","year":2024,"lang":"en","type":"article","venue":"Journal of Neuromuscular Diseases","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Università di Pisa","keywords":"Strengths and weaknesses; Medicine; Disease; Health technology; Health care; Knowledge management; Engineering ethics; Process management; Pathology; Psychology; Business; Political science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037615,0.0003852806,0.000534755,0.0006551633,0.0001123758,0.0002112715,0.0004392449,0.0001195982,0.00007039546],"category_scores_gemma":[0.00169253,0.0003133081,0.0003971448,0.001608333,0.00005417676,0.0004555652,0.00008121425,0.0006257284,0.00001516497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930026,"about_ca_system_score_gemma":0.0006867225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008043784,"about_ca_topic_score_gemma":0.00010168,"domain_scores_codex":[0.9969714,0.0001312787,0.001133949,0.0004619329,0.000675361,0.0006260807],"domain_scores_gemma":[0.9980823,0.0003341015,0.0001710778,0.0005642541,0.00009440606,0.000753857],"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":[0.0003586576,0.0008239742,0.06795139,0.002964766,0.001301996,0.001890779,0.004863343,0.3545417,0.01042239,0.0003188977,0.3344721,0.22009],"study_design_scores_gemma":[0.001450678,0.0002098813,0.6731497,0.001665265,0.0003438483,0.00008466661,0.0001604168,0.01021794,0.0000391032,0.004466212,0.3074929,0.0007194292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971565,0.0355575,0.03090129,0.02307687,0.01154812,0.00125385,0.0002370509,0.000253517,0.00001527712],"genre_scores_gemma":[0.9928378,0.002692354,0.0007296557,0.0004159296,0.002790129,0.00003695493,0.0001624452,0.0001780159,0.000156729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6051983,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016425381497196,"score_gpt":0.2798066732645669,"score_spread":0.259642419449595,"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."}}