{"id":"W3025850903","doi":"10.1016/j.msec.2020.111088","title":"Adhesion, intracellular signalling and osteogenic differentiation of mesenchymal progenitor cells and preosteoblasts on poly(epsilon)caprolactone films functionalized by peptides derived from fibronectin and/or BMP-9","year":2020,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mesenchymal stem cell; Cell biology; Bone morphogenetic protein 2; Fibronectin; Chemistry; RUNX2; Progenitor cell; Adhesion; SMAD; Osteoblast; Cell adhesion; Stem cell; Signal transduction; Biochemistry; Extracellular matrix; Biology; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002491897,0.0002919937,0.0004021595,0.0001049876,0.0000868397,0.0002031476,0.00010372,0.00009977982,0.0000981253],"category_scores_gemma":[0.0001215332,0.0002659336,0.00001524318,0.0001672628,0.0001080672,0.0003011404,0.00009468923,0.00008423288,0.000003344548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000222753,"about_ca_system_score_gemma":0.00001870263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002747514,"about_ca_topic_score_gemma":7.318124e-7,"domain_scores_codex":[0.9986289,0.00002190964,0.0003650174,0.0004028751,0.0002756543,0.000305669],"domain_scores_gemma":[0.9994527,0.0001069017,0.00006641201,0.0001187934,0.00004270448,0.0002125362],"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":[0.00009330083,0.000008036483,0.00003874097,0.0003877557,0.00002568564,0.000002301866,0.0005123793,0.001855278,0.9967173,0.00000823244,0.00002816022,0.0003228247],"study_design_scores_gemma":[0.000486119,0.0002115177,0.002922564,0.0001414022,0.00003409213,0.000006954037,0.00005535195,0.02553762,0.9702572,0.000005583835,0.00006221486,0.0002793508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962685,0.001291214,0.001418275,0.00004758586,0.0003599312,0.0003072279,0.000112957,0.0001920869,0.000002182372],"genre_scores_gemma":[0.996007,0.0001862928,0.003610638,0.00001079524,0.00008517864,0.00002690839,0.00001817831,0.00004472099,0.00001026045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646007,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943906543907522,"score_gpt":0.184416272199291,"score_spread":0.1749772067602157,"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."}}