{"id":"W2914850203","doi":"10.3899/jrheum.180445","title":"Economic Burden among Commercially Insured Patients with Systemic Sclerosis in the United States","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Multiple sclerosis; Internal medicine; MEDLINE; Intensive care medicine; Immunology","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":[0.0005273854,0.0002803291,0.0002568523,0.001124635,0.0003427637,0.0005646126,0.0002235935,0.000347081,0.0009098917],"category_scores_gemma":[0.001790232,0.0001288673,0.0003301313,0.001178157,0.000265478,0.0003795613,0.0005405706,0.0002744916,0.0001119721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005215803,"about_ca_system_score_gemma":0.0003055813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009008876,"about_ca_topic_score_gemma":0.01102959,"domain_scores_codex":[0.9994486,0.0001735004,0.00009796762,0.00008561103,0.0001304663,0.0000638696],"domain_scores_gemma":[0.9988431,0.0001153904,0.0008250913,0.0000314192,0.00007694426,0.0001081025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003335918,0.0000258742,0.9988452,0.00000726122,0.00004921617,0.00004991033,0.0000206209,0.00004956837,0.00003347556,0.00001140477,0.0001498056,0.0007242534],"study_design_scores_gemma":[0.000005462646,0.00004377907,0.9991795,0.00001096369,0.00002261756,0.0001742259,0.0001205865,0.0002642573,0.00001838271,0.00001472458,0.0001435726,0.000001978386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983811,0.0003935599,0.00002925384,0.00009975814,0.000005289661,0.000007024242,0.0007758962,0.000002476128,0.0003056751],"genre_scores_gemma":[0.9990113,0.000151751,0.00004414278,0.00004685862,0.00001178649,0.00000718296,0.0006619301,5.93442e-7,0.00006444677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009008876,"threshold_uncertainty_score":0.01791286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136690197246257,"score_gpt":0.2175491486416302,"score_spread":0.2061822466691677,"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."}}