{"id":"W3005810662","doi":"10.3899/jrheum.200026","title":"Z. Slim and S. Bernatsky reply","year":2020,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Rheumatoid arthritis; Perspective (graphical); Health information; Gerontology; Internal medicine; Health care; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004014114,0.0006225645,0.001109151,0.0006047952,0.002440561,0.00223741,0.001399508,0.02963537,0.004995791],"category_scores_gemma":[0.02385992,0.0005765725,0.0008368898,0.0005166774,0.002465632,0.002696134,0.001283768,0.0267465,0.006254834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003138988,"about_ca_system_score_gemma":0.003893089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009687223,"about_ca_topic_score_gemma":0.01024932,"domain_scores_codex":[0.9980425,0.0005883258,0.0002455227,0.0003285917,0.0005162611,0.0002787459],"domain_scores_gemma":[0.9930356,0.002992712,0.0004104783,0.0002552035,0.002152987,0.001153108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002539555,0.00001404254,0.0005945781,0.00002721624,0.000006911814,0.0005663894,0.00009935245,0.00001752739,0.00007587919,0.0009287944,0.9942375,0.003406309],"study_design_scores_gemma":[0.00007740661,0.00004650616,0.002652252,0.0002487159,0.00002425188,0.002845211,0.0008350702,0.0002641912,0.0002252604,0.003899174,0.9888021,0.00007996252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003018171,0.0008942375,0.00003880669,0.985118,0.01274997,0.000007539598,0.00003124439,0.0000221774,0.0008361468],"genre_scores_gemma":[0.002975064,0.00061235,0.0001150602,0.9815488,0.01125724,0.0000256665,0.00001759357,0.00001244415,0.003435736],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02963537,"threshold_uncertainty_score":0.02277505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739904133474353,"score_gpt":0.2910060497055908,"score_spread":0.2636070083708473,"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."}}