{"id":"W2102053913","doi":"10.1111/cid.12253","title":"Differential Behavior of Fibroblasts and Epithelial Cells on Structured Implant Abutment Materials: A Comparison of Materials and Surface Topographies","year":2014,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Mental Health; Deutsche Gesellschaft für Zahn-, Mund- und Kieferheilkunde","keywords":"Adhesion; Materials science; Vinculin; Contact angle; Titanium; Cell adhesion; Biomedical engineering; Cubic zirconia; Fibroblast; Titanium alloy; Substrate (aquarium); Focal adhesion; Surface modification; Surface roughness; Cell; Composite material; Chemistry; Alloy; Metallurgy; Ceramic; Medicine; In vitro; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009036158,0.0002333826,0.0008162406,0.0001405753,0.00008177974,0.00008762076,0.0001430754,0.0003963722,0.0001052807],"category_scores_gemma":[0.0000696373,0.0001924118,0.00004425794,0.0001030419,0.0004502703,0.0000514258,0.0001607431,0.0003368596,0.000006985179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007498643,"about_ca_system_score_gemma":0.000007945188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003403941,"about_ca_topic_score_gemma":0.000004041618,"domain_scores_codex":[0.997606,0.000375036,0.001026054,0.000327404,0.0002941811,0.0003713102],"domain_scores_gemma":[0.9987672,0.0006172167,0.0001309091,0.0002565075,0.00005175222,0.0001764036],"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":[0.0002308478,0.0000841994,0.0002731885,0.000684713,0.000131167,0.00009946916,0.0001207223,0.0001022393,0.9968697,0.0002107281,0.000287314,0.0009057401],"study_design_scores_gemma":[0.001124253,0.0006031261,0.02400714,0.0002790706,0.00007760255,0.0006866676,0.00004416273,0.0002387577,0.9724873,0.000158477,0.00009077451,0.0002026644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949608,0.0002051052,0.00002576807,0.00001147768,0.003513684,0.0003652777,0.0008549514,0.00005466706,0.000008298436],"genre_scores_gemma":[0.9989005,0.0007162275,0.0001488553,8.020839e-7,0.00007865251,0.000009073019,0.00005951743,0.00003335,0.00005300845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02438237,"threshold_uncertainty_score":0.7846325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516553633346483,"score_gpt":0.3639269111738649,"score_spread":0.3187613748404001,"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."}}