{"id":"W4389439276","doi":"10.21037/aes-22-70","title":"Pro-inflammatory cytokines levels in tears and dry eye disease in Parkinson’s disease","year":2023,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tears; Parkinson's disease; Medicine; Interleukin 6; Disease; Internal medicine; Cytokine; Stage (stratigraphy); Tumor necrosis factor alpha; Proinflammatory cytokine; Montreal Cognitive Assessment; Neuroinflammation; Interleukin; Gastroenterology; Rating scale; Ophthalmology; Immunology; Inflammation; Cognitive impairment; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008309413,0.0001116329,0.0002026165,0.000417368,0.00005145702,0.00002260851,0.000163194,0.00002737325,0.00001589012],"category_scores_gemma":[0.0005753509,0.00009795196,0.00004840106,0.001056802,0.0003547505,0.0003305788,0.0001104023,0.000104992,0.00002588348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001684454,"about_ca_system_score_gemma":0.0004742425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007309936,"about_ca_topic_score_gemma":0.00005869017,"domain_scores_codex":[0.9985297,0.00003258333,0.0002423204,0.0003603413,0.000450343,0.0003846987],"domain_scores_gemma":[0.9991282,0.0000350749,0.00005601081,0.0003174872,0.00009559567,0.0003676025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009509271,0.00005717573,0.9905453,0.0001155798,0.000002807064,0.000294803,0.0003143749,0.00003483686,0.006134797,0.0001199802,0.00001539519,0.002269846],"study_design_scores_gemma":[0.0003797774,0.00004092207,0.9944875,0.0003203922,0.000007296625,3.82668e-8,0.0001007258,0.001109059,0.001431244,0.0004455923,0.001569727,0.0001076919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954218,0.0005913724,0.00000148297,0.003432625,0.00005847902,0.0002941129,0.0000172177,0.0000316942,0.0001512615],"genre_scores_gemma":[0.9987108,0.0003029799,0.00003338415,0.0004249408,0.00002431202,0.00001884183,0.000002037899,0.000009035539,0.0004736586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004703554,"threshold_uncertainty_score":0.3994365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954537374804074,"score_gpt":0.3427997908440261,"score_spread":0.2932544170959853,"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."}}