{"id":"W2341153011","doi":"10.1093/rheumatology/kev090.080","title":"315. Development of an ANCA-Associated Vasculitis Patient-Reported Outcome Measure: Identification of Salient Themes and Candidate Questionnaire Item Development","year":2015,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Otitis Media and Relapsing Polychondritis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Patient-reported outcome; Identification (biology); Salient; ANCA-Associated Vasculitis; Measure (data warehouse); Vasculitis; Physical therapy; Pathology; Quality of life (healthcare); Data mining; Artificial intelligence; Disease; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01047318,0.0002983843,0.0003856024,0.001029099,0.0004444051,0.0007347003,0.0005751564,0.0005154624,0.00664161],"category_scores_gemma":[0.01749995,0.0001733867,0.0008736728,0.0007708648,0.0003473125,0.0008151345,0.0008971368,0.0007904507,0.002190185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009418058,"about_ca_system_score_gemma":0.001761439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006071664,"about_ca_topic_score_gemma":0.001439013,"domain_scores_codex":[0.9947582,0.00243775,0.001080418,0.0001778731,0.001270199,0.0002755864],"domain_scores_gemma":[0.988062,0.004729289,0.002155741,0.0005501483,0.003790434,0.0007123842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002195134,0.002913432,0.4240924,0.002258758,0.0002091906,0.0003057723,0.003446034,0.00222435,0.006041329,0.004110643,0.02953012,0.5226728],"study_design_scores_gemma":[0.0005024204,0.004057764,0.9371215,0.0007323963,0.0001155695,0.0004526344,0.001659369,0.004511743,0.003137429,0.002703782,0.04492752,0.00007797377],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8573461,0.0006976175,0.02962605,0.003243251,0.0004567495,0.03263014,0.01447601,0.0004655898,0.06105849],"genre_scores_gemma":[0.8231147,0.0006807775,0.1162308,0.0007845103,0.0001129007,0.04134621,0.009808278,0.00008247945,0.007839344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01047318,"threshold_uncertainty_score":0.05538809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035676697857758,"score_gpt":0.2760162186550169,"score_spread":0.2456594516764393,"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."}}