{"id":"W3048490268","doi":"10.1016/j.jid.2020.03.946","title":"Standardizing Hidradenitis Suppurativa Skin Microbiome Research: The Methods Matter","year":2020,"lang":"en","type":"letter","venue":"Journal of Investigative Dermatology","topic":"Hidradenitis Suppurativa and Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Johnson and Johnson","keywords":"Hidradenitis suppurativa; Microbiome; Dermatology; Medicine; Biology; Pathology; Bioinformatics; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01341568,0.000441686,0.001255002,0.0006891523,0.00191602,0.003398698,0.001087033,0.0154191,0.003270094],"category_scores_gemma":[0.04148493,0.0003051411,0.0008105549,0.0003598762,0.003562169,0.004756382,0.002663032,0.02234324,0.002317142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003224047,"about_ca_system_score_gemma":0.004091776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107331,"about_ca_topic_score_gemma":0.002378711,"domain_scores_codex":[0.9900594,0.005456185,0.001300991,0.000665904,0.001940355,0.0005772511],"domain_scores_gemma":[0.9634098,0.02346344,0.001709364,0.002214108,0.006052556,0.003150611],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000255966,0.0003376389,0.009470939,0.0006356256,0.00008722694,0.004255473,0.000698143,0.0002441036,0.00361459,0.02012789,0.7653657,0.1949067],"study_design_scores_gemma":[0.0002994944,0.0004463007,0.005636064,0.002525405,0.0001319363,0.007170534,0.001910358,0.0009970483,0.00222065,0.08938985,0.889148,0.0001243473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009727782,0.00973551,0.0007691421,0.9742589,0.01165626,0.00001892861,0.00002402956,0.00002813485,0.0025363],"genre_scores_gemma":[0.02534322,0.008478268,0.003942738,0.8838415,0.07586863,0.00008223047,0.00004524481,0.00003645233,0.002361776],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9865843,"threshold_uncertainty_score":0.07094973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422716588519186,"score_gpt":0.4182246183613715,"score_spread":0.2759529595094529,"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."}}