{"id":"W4220848736","doi":"10.1007/s43441-022-00389-x","title":"Unmet Therapeutic Needs of Non-Ambulatory Patients with Duchenne Muscular Dystrophy: A Mixed-Method Analysis","year":2022,"lang":"en","type":"article","venue":"Therapeutic Innovation & Regulatory Science","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Duchenne Research Fund; Muscular Dystrophy Canada; Parent Project Muscular Dystrophy; Pfizer","keywords":"Medicine; Ambulatory; Duchenne muscular dystrophy; Prom; Quality of life (healthcare); Context (archaeology); Population; Physical therapy; Muscular dystrophy; Internal medicine; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128189,0.0002106071,0.0002762736,0.0008186984,0.0004753475,0.00001727325,0.0005590928,0.00007477604,0.0001077717],"category_scores_gemma":[0.00001797452,0.0001889022,0.0001070877,0.005884799,0.0006973175,0.00002579977,0.0001762487,0.0001584724,0.000001534295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005415474,"about_ca_system_score_gemma":0.0003632501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001653325,"about_ca_topic_score_gemma":0.000002131118,"domain_scores_codex":[0.9980448,0.0001799078,0.0003860549,0.0004534624,0.0005879856,0.0003477876],"domain_scores_gemma":[0.9982578,0.00001776097,0.0003603919,0.0007828427,0.0005320002,0.00004916945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005302994,0.000358135,0.06293647,0.00001915285,0.0007002281,3.653799e-7,0.0003741946,0.01600124,0.9015121,0.00659059,0.00002688658,0.01095034],"study_design_scores_gemma":[0.001426362,0.001023971,0.9481925,0.000004014271,0.0002651971,0.000002020548,0.0006922338,0.00152534,0.04419261,0.0008043805,0.001453434,0.0004179108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791327,0.0001392061,0.02006755,0.0000509762,0.0001543861,0.0002652682,0.00001937433,0.00001539066,0.000155178],"genre_scores_gemma":[0.9979964,0.000002389462,0.0008935655,0.0007931998,0.00002642641,0.00004753082,0.0001362121,0.00001985752,0.00008435769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8852561,"threshold_uncertainty_score":0.7703207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006282202508077043,"score_gpt":0.2479442496999644,"score_spread":0.2416620471918874,"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."}}