{"id":"W4381249184","doi":"10.1177/1759720x231177116","title":"Emerging molecular biomarkers in osteoarthritis pathology","year":2023,"lang":"en","type":"review","venue":"Therapeutic Advances in Musculoskeletal Disease","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canada Research Chairs","keywords":"Osteoarthritis; Medicine; Synovial fluid; Molecular biomarkers; Biomarker; Disease; Biomarker discovery; Narrative review; Bioinformatics; Pathological; Arthritis; Cartilage; Pathology; Internal medicine; Proteomics; Intensive care medicine; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0002890737,0.0007631003,0.002086751,0.0009488965,0.00004917627,0.00001850406,0.0002452586,0.0003076602,0.0001134456],"category_scores_gemma":[0.00008514825,0.0006853945,0.0009209257,0.001193594,0.0002069357,0.0001998177,0.0001167812,0.0005248417,0.0002824715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640132,"about_ca_system_score_gemma":0.00032379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000395678,"about_ca_topic_score_gemma":0.00005050628,"domain_scores_codex":[0.996437,0.0004017888,0.0009526902,0.0009758651,0.000398423,0.0008341903],"domain_scores_gemma":[0.9985183,0.0001524917,0.0002344771,0.0007104746,0.0000314062,0.0003528094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001187091,0.0002109705,0.00004982976,0.01317454,0.0001042711,0.008483786,0.00002679506,0.000002432977,0.000006898971,0.0006684846,0.000001175341,0.9771521],"study_design_scores_gemma":[0.00788918,0.00168628,0.0001220674,0.06062196,0.003117958,0.0001783483,0.0001896462,0.0000152562,0.000003309226,0.008606767,0.9159515,0.001617752],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006958511,0.995034,0.00004832913,0.00006281245,0.0005359426,0.002641012,0.00009538363,0.0001800163,0.0007066078],"genre_scores_gemma":[0.0007825212,0.9965897,0.0001916708,0.0001076477,0.0001009079,0.001221529,0.0006221554,0.0002073847,0.0001765239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9755344,"threshold_uncertainty_score":0.9995597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246877442811193,"score_gpt":0.3633000855689297,"score_spread":0.3408313111408178,"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."}}