{"id":"W4399481771","doi":"10.1136/annrheumdis-2024-eular.1667","title":"OP0015 THE ROLE OF MULTI-CRITERIA DECISION ANALYSIS IN THE DEVELOPMENT OF CANDIDATE CLASSIFICATION CRITERIA FOR ANTISYNTHETASE SYNDROME: ANALYSIS FROM THE CLASS PROJECT","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Antisynthetase syndrome; Computer science; Class (philosophy); Artificial intelligence; Linguistics; Philosophy","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":[0.04303053,0.001238925,0.002063257,0.002566407,0.0007675856,0.003804313,0.001152747,0.001100105,0.008322155],"category_scores_gemma":[0.07764569,0.00024821,0.003682639,0.001287997,0.0006966528,0.001189492,0.002067514,0.002011358,0.0005666759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429179,"about_ca_system_score_gemma":0.004758003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958775,"about_ca_topic_score_gemma":0.001926969,"domain_scores_codex":[0.9769258,0.01810354,0.0008896116,0.0008150085,0.002769963,0.0004960729],"domain_scores_gemma":[0.8839426,0.1040291,0.002712284,0.001654301,0.005696509,0.001965136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03237162,0.002423216,0.1875637,0.002941685,0.007159155,0.0004383174,0.0004973793,0.1349791,0.002675509,0.01840663,0.0153519,0.5951918],"study_design_scores_gemma":[0.002747979,0.006581114,0.06097495,0.001016865,0.003120653,0.0005960714,0.000554497,0.8724575,0.003823648,0.03423274,0.01368846,0.0002054611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7657279,0.005293021,0.201213,0.004248967,0.0003955628,0.002379013,0.005878891,0.0003873164,0.01447633],"genre_scores_gemma":[0.9213992,0.0004943463,0.07283658,0.0003805412,0.0001012696,0.0005918202,0.002679403,0.0001385612,0.001378227],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04303053,"threshold_uncertainty_score":0.2275699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08484319331023812,"score_gpt":0.3968394934648648,"score_spread":0.3119963001546266,"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."}}