{"id":"W4402679915","doi":"10.1111/1756-185x.15351","title":"Myositis India: Early lessons from a patient support group in a resource‐limited setting","year":2024,"lang":"en","type":"letter","venue":"International Journal of Rheumatic Diseases","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Myositis; Group (periodic table); Resource (disambiguation); Pathology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005783179,0.0004990468,0.0005396067,0.0006318604,0.01044266,0.009816916,0.002652974,0.00526752,0.009120659],"category_scores_gemma":[0.01475429,0.0005711951,0.0008108211,0.001174423,0.004356432,0.008430912,0.01023591,0.01152824,0.001348268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005572862,"about_ca_system_score_gemma":0.0216255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251005,"about_ca_topic_score_gemma":0.02607075,"domain_scores_codex":[0.9934164,0.003385474,0.0002235969,0.0003289249,0.0006281275,0.002017444],"domain_scores_gemma":[0.9822483,0.004094295,0.0006723038,0.0004263634,0.001292584,0.01126605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004281438,0.003946894,0.05877353,0.002116084,0.00008774369,0.0535422,0.2983975,0.0001502713,0.0007142705,0.03006637,0.2724568,0.2793202],"study_design_scores_gemma":[0.0004149679,0.001821613,0.03493259,0.00593837,0.0001463637,0.02193093,0.5405566,0.0003405502,0.0003561364,0.01302225,0.3802969,0.0002427529],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.206124,0.01566362,0.0006593753,0.7397528,0.00509334,0.0002773245,0.0001611054,0.0000893223,0.03217917],"genre_scores_gemma":[0.7922289,0.02373213,0.002969272,0.1658555,0.004175154,0.0004915813,0.0002764842,0.0001285085,0.0101424],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01251005,"threshold_uncertainty_score":0.04043406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008281583665331348,"score_gpt":0.2605996395519213,"score_spread":0.25231805588659,"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."}}