{"id":"W4404184014","doi":"10.1136/jnnp-2024-abn.171","title":"Patient demographics and clinical characteristics of adults with SMA: assessment of risdiplam-treated and untreated SMA","year":2024,"lang":"en","type":"article","venue":"","topic":"Cardiac Structural Anomalies and Repair","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SMA*; Demographics; Medicine; Computer science; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007376373,0.0001302804,0.0004546545,0.00007756953,0.00002087013,0.000009748044,0.00001472716,0.00009490291,0.00002582937],"category_scores_gemma":[0.00001847521,0.00007087339,0.00009993757,0.0001795201,0.0002429083,0.00002386193,0.00003996558,0.0001290619,1.701336e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000898067,"about_ca_system_score_gemma":0.00004326634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958477,"about_ca_topic_score_gemma":0.00003348697,"domain_scores_codex":[0.9990616,0.00002788859,0.0004142252,0.0002305621,0.0001549456,0.0001107338],"domain_scores_gemma":[0.9993948,0.0001387571,0.00008670147,0.0001368543,0.0001327897,0.0001100935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003535078,0.00007431123,0.9769689,0.0006593984,0.0005089992,0.00008637534,0.0001165701,1.350943e-7,0.0002239447,0.0002845385,0.00005894066,0.02066433],"study_design_scores_gemma":[0.001155714,0.002086873,0.9929095,0.0005999759,0.0005549816,0.0001259832,0.0002469415,0.001592285,0.0003962744,0.000007760638,0.0002326389,0.00009110275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982392,0.0004359858,0.00002218928,0.0001531477,0.0001025369,0.0002938385,0.00005438475,0.00004537963,0.0006533756],"genre_scores_gemma":[0.9974481,0.001421044,0.0009118107,0.00002994629,0.00003732058,0.000003022297,0.00004652073,0.00001191684,0.00009031561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057322,"threshold_uncertainty_score":0.2890133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006210204206095624,"score_gpt":0.2824500638519524,"score_spread":0.2762398596458568,"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."}}