{"id":"W1969390199","doi":"10.1080/10255842.2010.493512","title":"A depth-dependent model of the pericellular microenvironment of chondrocytes in articular cartilage","year":2010,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Chondrocyte; Extracellular matrix; Cartilage; Matrix (chemical analysis); Biophysics; In situ; Chemistry; Articular cartilage; Stiffness; Spheroid; Deformation (meteorology); Bone matrix; Cell biology; Anatomy; Materials science; Biomedical engineering; In vitro; Osteoarthritis; Composite material; Biology; Pathology; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001846718,0.0006555373,0.000369969,0.000291312,0.0002935799,0.0006692873,0.00103822,0.001335953,0.001217276],"category_scores_gemma":[0.0006588895,0.0005062937,0.0005716376,0.0002661823,0.0008434356,0.0007704517,0.000749093,0.0006203357,0.0003324157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008981477,"about_ca_system_score_gemma":0.0007218847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152549,"about_ca_topic_score_gemma":0.005013064,"domain_scores_codex":[0.9998801,0.00002739647,0.000005511079,0.0000255553,0.000038358,0.00002313571],"domain_scores_gemma":[0.9998164,0.00005922099,0.00004176926,0.0000179956,0.00003014527,0.0000345913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005238993,0.00003693961,0.0004984853,0.00004936381,0.00001053423,0.0001572447,0.00006503234,0.9532428,0.03351377,0.01075739,0.0001598454,0.001456238],"study_design_scores_gemma":[0.00001723185,0.00003010954,0.0004115041,0.00000438392,0.000005769873,0.00004967843,0.000009923951,0.9965518,0.0006800666,0.001899986,0.000328316,0.00001124816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5137248,0.002434436,0.4530331,0.001142585,0.0001376662,0.0001269859,0.0006674436,0.0002925398,0.02844038],"genre_scores_gemma":[0.9659973,0.0009009112,0.0231679,0.0001362209,0.00003978086,0.0001031373,0.000116949,0.00005786756,0.009479932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152549,"threshold_uncertainty_score":0.02291679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298557157069315,"score_gpt":0.2686420243518832,"score_spread":0.2556564527811901,"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."}}