{"id":"W3159863344","doi":"10.21203/rs.3.rs-414612/v1","title":"Potential Value of Periostin as a Clinically Applicable Biomarker for Osteoarthritis","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Periostin; Biomarker; Osteoarthritis; Value (mathematics); Medicine; Computer science; Pathology; Biology; Genetics; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289856,0.0002567053,0.001073302,0.00029943,0.0001666453,0.0001317373,0.0002431882,0.0007204284,0.0002662351],"category_scores_gemma":[0.001363507,0.0002331258,0.001294705,0.0003113669,0.0002592631,0.0000325972,0.001207883,0.001288731,0.00002335045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258875,"about_ca_system_score_gemma":0.001818632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004354534,"about_ca_topic_score_gemma":0.00000806989,"domain_scores_codex":[0.9958068,0.00031855,0.000867925,0.0009072729,0.001417566,0.0006818619],"domain_scores_gemma":[0.995764,0.0005227352,0.0001572649,0.001052882,0.002161032,0.0003421227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01356949,0.004108194,0.05673644,0.05136188,0.002268438,0.0006198777,0.00183275,0.003946838,0.5750463,0.001559119,0.01085853,0.2780921],"study_design_scores_gemma":[0.03345175,0.02191748,0.6247506,0.07479781,0.002174147,0.0009968476,0.01832529,0.08576784,0.04656903,0.006120482,0.08164839,0.003480307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809252,0.006338909,0.002720963,0.00128657,0.0004499755,0.003765873,0.0003513395,0.00005398164,0.004107207],"genre_scores_gemma":[0.9869038,0.001441967,0.008558822,0.00005484117,0.0007160099,0.0004725152,0.0007240438,0.00009013376,0.001037825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5680142,"threshold_uncertainty_score":0.9506595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06168582719849384,"score_gpt":0.4285274221946315,"score_spread":0.3668415949961376,"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."}}