{"id":"W4220994354","doi":"10.3389/fimmu.2022.847312","title":"Harnessing Big Data, Smart and Digital Technologies and Artificial Intelligence for Preventing, Early Intercepting, Managing, and Treating Psoriatic Arthritis: Insights From a Systematic Review of the Literature","year":2022,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Celgene","keywords":"Systematic review; Critical appraisal; Big data; Medicine; Psoriatic arthritis; Toolbox; MEDLINE; Data science; Alternative medicine; Disease; Computer science; Pathology; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.03220768,0.001660914,0.007154096,0.0289148,0.0009427377,0.003832404,0.001851436,0.002175106,0.002567022],"category_scores_gemma":[0.08711127,0.0009813117,0.008922269,0.02268919,0.001543412,0.00418755,0.002464134,0.001348483,0.0002782235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363996,"about_ca_system_score_gemma":0.02378806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00487168,"about_ca_topic_score_gemma":0.02258559,"domain_scores_codex":[0.9690364,0.01286741,0.0108025,0.001665618,0.00503548,0.0005926806],"domain_scores_gemma":[0.8942143,0.07842976,0.015931,0.001974401,0.008544547,0.0009061321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001608933,0.00003100243,0.00235417,0.9272528,0.01239633,0.0002352055,0.0006974546,0.0001738025,0.0002934012,0.0005716779,0.001572057,0.05426139],"study_design_scores_gemma":[0.0001694714,0.0001975761,0.00754902,0.8919776,0.07716588,0.0005333466,0.001285238,0.0002127124,0.0002599118,0.001217085,0.01935625,0.00007587692],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001888575,0.9946736,0.0006461833,0.001199354,0.0001516621,0.000598808,0.0005107978,0.000008903326,0.0003221906],"genre_scores_gemma":[0.0260374,0.9669894,0.003447135,0.001446782,0.0001594078,0.001397683,0.0004173457,0.000007508956,0.00009729464],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03220768,"threshold_uncertainty_score":0.1703326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455854099568771,"score_gpt":0.2875331337674162,"score_spread":0.2529745927717285,"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."}}