{"id":"W4283448146","doi":"10.46919/archv3n4-003","title":"Síndrome de Behçet – os desafios do diagnóstico","year":2022,"lang":"pt","type":"article","venue":"Journal Archives of Health","topic":"Ocular Diseases and Behçet’s Syndrome","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Medicine; Gynecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001684255,0.0003720894,0.001185917,0.0006322147,0.001222648,0.00006026506,0.0005964767,0.00007700729,0.006547773],"category_scores_gemma":[0.0002529141,0.0003489585,0.0007665696,0.0003575101,0.0002055526,0.0001087896,0.0004413679,0.002460337,0.00003650236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520849,"about_ca_system_score_gemma":0.003517521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001765841,"about_ca_topic_score_gemma":0.00000783375,"domain_scores_codex":[0.9942403,0.001410253,0.001486745,0.0004235393,0.001163043,0.001276155],"domain_scores_gemma":[0.99621,0.0004785886,0.001210926,0.0005523586,0.00005174216,0.001496341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003914608,0.01498386,0.4306927,0.007986235,0.002695959,0.0102421,0.03067749,0.002861128,0.002903783,0.001250497,0.08390054,0.4078911],"study_design_scores_gemma":[0.01157694,0.02067463,0.8207392,0.003714962,0.00127407,0.0307595,0.01321147,0.004206781,0.00007866708,0.008394509,0.08421967,0.001149583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047874,0.06453752,0.002121605,0.02299968,0.002081501,0.001137596,0.0007331985,0.0000493409,0.001552114],"genre_scores_gemma":[0.9873922,0.00617669,0.001306575,0.002267326,0.0005763845,0.00002559519,0.00004356871,0.00008495095,0.002126688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4067415,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953522702275071,"score_gpt":0.3068201278239859,"score_spread":0.2872849008012353,"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."}}