{"id":"W2738920053","doi":"10.1007/s10439-017-1887-4","title":"Erratum to: Development of an Electromechanical Grade to Assess Human Knee Articular Cartilage Quality","year":2017,"lang":"en","type":"erratum","venue":"Annals of Biomedical Engineering","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Biomomentum (Canada); Polytechnique Montréal; Michelin (Canada)","funders":"","keywords":"Articular cartilage; Quality (philosophy); Knee cartilage; Biomedical engineering; Cartilage; Medicine; Computer science; Osteoarthritis; Anatomy; Physics; Pathology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002474778,0.00190303,0.001458659,0.002874438,0.001996292,0.002086197,0.001791463,0.005695072,0.02228336],"category_scores_gemma":[0.02891022,0.0009976394,0.0009929356,0.001449225,0.001755999,0.001702227,0.001364532,0.006481167,0.02346809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573911,"about_ca_system_score_gemma":0.002979258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005511715,"about_ca_topic_score_gemma":0.008018951,"domain_scores_codex":[0.996979,0.0003426081,0.0008357136,0.0002072207,0.001498627,0.0001368616],"domain_scores_gemma":[0.9806614,0.003941283,0.001109132,0.0006804023,0.01307527,0.000532456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001007704,0.00004269836,0.0003956777,0.0003381816,0.00001706878,0.0008799015,0.00004859003,0.00009175383,0.0004540353,0.0007585774,0.9693421,0.02753068],"study_design_scores_gemma":[0.00005942343,0.0001682748,0.001887057,0.0006114517,0.0001009278,0.002706436,0.0002622996,0.0006991526,0.002987071,0.001300459,0.9891434,0.00007408814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0009620471,0.003842447,0.002606212,0.04475654,0.9414061,0.00008337579,0.0006771807,0.0002234143,0.005442711],"genre_scores_gemma":[0.0314862,0.03094359,0.03084891,0.119416,0.347263,0.0005310775,0.004231303,0.002214701,0.4330651],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02228336,"threshold_uncertainty_score":0.0745452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08863856025340526,"score_gpt":0.3759703835488625,"score_spread":0.2873318232954573,"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."}}