{"id":"W3133061598","doi":"10.1007/s40744-021-00287-y","title":"Human Osteochondral Explants: Reliable Biomimetic Models to Investigate Disease Mechanisms and Develop Personalized Treatments for Osteoarthritis","year":2021,"lang":"en","type":"article","venue":"Rheumatology and Therapy","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ReumaNederland; ZonMw; Dutch Arthritis Society; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Leiden; Arthritis Society","keywords":"Chondrocyte; Cartilage; Downregulation and upregulation; Osteoarthritis; Catabolism; Muscle hypertrophy; Anabolism; Matrix Metalloproteinase 3; Chemistry; Cell biology; Endocrinology; Internal medicine; Medicine; Matrix metalloproteinase; Pathology; Biology; Anatomy; Biochemistry; Gene; Metabolism","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008902863,0.0002769246,0.0005537691,0.0001124734,0.0003021287,0.00003817572,0.00003725675,0.0001418376,0.00007154877],"category_scores_gemma":[0.00002723552,0.000246734,0.0000725264,0.0001336285,0.0001070066,0.0001205362,0.00003823291,0.00006759609,0.00000873416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002280933,"about_ca_system_score_gemma":0.00014676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001940728,"about_ca_topic_score_gemma":0.00002288451,"domain_scores_codex":[0.9986346,0.00005827443,0.0002689775,0.0005435041,0.0001155727,0.0003790819],"domain_scores_gemma":[0.9990848,0.00005340906,0.00005884601,0.0002275953,0.0001129211,0.0004624654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008592085,0.001734237,0.02001459,0.0006502208,0.001774441,0.003649549,0.008547656,0.000005766311,0.4534075,0.3224476,0.001162189,0.1780141],"study_design_scores_gemma":[0.1186956,0.01732728,0.002355513,0.002628102,0.001135576,0.008317342,0.002329969,0.0003122268,0.2476291,0.5885167,0.008727714,0.002024879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982667,0.01400203,0.0006117456,0.001205379,0.0001984587,0.001056616,0.00008181695,0.00007846282,0.00009854607],"genre_scores_gemma":[0.9754024,0.003616311,0.01609637,0.001386119,0.0000164153,0.0006102721,0.0003776446,0.00005825503,0.002436278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660691,"threshold_uncertainty_score":0.9999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347883714411846,"score_gpt":0.2733837220021514,"score_spread":0.2399048848580329,"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."}}