{"id":"W2944587262","doi":"10.1007/s10439-019-02280-7","title":"Arthroscopic Determination of Cartilage Proteoglycan Content and Collagen Network Structure with Near-Infrared Spectroscopy","year":2019,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Orionin Tutkimussäätiö; Tekniikan Edistämissäätiö; Arthritis Society; Dutch Arthritis Society; Kuopion Yliopistollinen Sairaala; Academy of Finland; Itä-Suomen Yliopisto","keywords":"Cartilage; In vivo; Osteoarthritis; Biomedical engineering; Proteoglycan; Materials science; In vitro; Chemistry; Pathology; Anatomy; Medicine; Biology; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00007643097,0.0001245372,0.0003463073,0.00006033871,0.00001610655,0.000007639925,0.00003522883,0.0000871961,0.00006480527],"category_scores_gemma":[0.00002705789,0.00009616353,0.00003458303,0.0001609148,0.00007228,0.00005089373,0.00001978958,0.000058803,0.000001135427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009051379,"about_ca_system_score_gemma":0.00005160308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005017955,"about_ca_topic_score_gemma":0.000003080358,"domain_scores_codex":[0.9991666,0.000008557812,0.0002174919,0.0001517462,0.0002444131,0.0002112073],"domain_scores_gemma":[0.9995417,0.00002552508,0.00008050603,0.0001470782,0.00007104978,0.0001341403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002954702,0.00006339522,0.003571427,0.0005349588,0.00005136687,0.00003933883,0.0002455273,0.00003126926,0.9890769,0.0002092356,0.00005389181,0.005827183],"study_design_scores_gemma":[0.004030696,0.008481653,0.007822512,0.001389304,0.0000846822,0.00005713874,0.00008063529,0.002262884,0.9744515,0.00008868842,0.001061618,0.000188624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977298,0.0004811535,0.000785215,0.0001457935,0.000105191,0.000625816,0.00001792427,0.00002613862,0.00008298388],"genre_scores_gemma":[0.9865161,0.00003534592,0.01315921,0.00005133989,0.00005854614,0.00001040271,0.0000297402,0.00001720123,0.0001221409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462537,"threshold_uncertainty_score":0.3921435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413008923425351,"score_gpt":0.2419460943842612,"score_spread":0.2278160051500077,"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."}}