{"id":"W2442231119","doi":"10.1089/ten.tec.2015.0365","title":"Optimal Seeding Densities for <i>In Vitro</i> Chondrogenesis of Two- and Three-Dimensional-Isolated and -Expanded Bone Marrow-Derived Mesenchymal Stromal Stem Cells Within a Porous Collagen Scaffold","year":2015,"lang":"en","type":"article","venue":"Tissue Engineering Part C Methods","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Chondrogenesis; Mesenchymal stem cell; Aggrecan; Chemistry; Stromal cell; Hyaline cartilage; Bone marrow; Biomedical engineering; Cell biology; Tissue engineering; In vitro; Cartilage; Anatomy; Pathology; Immunology; Biology; Osteoarthritis; Medicine; Articular cartilage; Biochemistry","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":[0.0004596859,0.00034607,0.0002848985,0.0002098639,0.000132685,0.0004747509,0.0002772953,0.0003012909,0.0004702653],"category_scores_gemma":[0.0004205533,0.0001810882,0.0001771362,0.0001538582,0.0002203816,0.0002626995,0.0002041259,0.0002418364,0.0001978321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601676,"about_ca_system_score_gemma":0.0002778463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011335,"about_ca_topic_score_gemma":0.002036589,"domain_scores_codex":[0.9995862,0.00008446226,0.000065885,0.00007007998,0.0001267009,0.00006668751],"domain_scores_gemma":[0.9995864,0.0001602785,0.0001205697,0.00001811214,0.00006052502,0.00005405245],"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":[0.00005924267,0.00001380422,0.0003437347,0.00003649198,0.000002073431,0.00002400256,0.00002152813,0.0001973618,0.9987478,0.00003898713,0.00001821714,0.0004966607],"study_design_scores_gemma":[0.000005257742,0.0002092926,0.002166937,0.000008818759,0.00001090174,0.0000461292,0.00003117925,0.001435006,0.9955627,0.00001341961,0.0005053005,0.000005155385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862108,0.001009661,0.01069061,0.00003994425,0.00002094348,0.00007975684,0.0002797352,0.00009347036,0.00157513],"genre_scores_gemma":[0.9723186,0.001087556,0.02529316,0.00003867675,0.00001409979,0.0001168405,0.0005194046,0.00004279934,0.0005687237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011335,"threshold_uncertainty_score":0.002431095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154708043536938,"score_gpt":0.2940923316800989,"score_spread":0.2625452512447295,"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."}}