{"id":"W2131239755","doi":"10.1089/107999000312540","title":"Transforming Growth Factor- <i>beta</i> mRNA and Protein in Hypertrophic Scar Tissues and Fibroblasts: Antagonism by IFN- <i>alpha</i> and IFN- <i>gamma</i> <i>In Vitro</i> and <i>In Vivo</i>","year":2000,"lang":"en","type":"article","venue":"Journal of Interferon & Cytokine Research","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wound healing; Fibroblast; Cytokine; Transforming growth factor; Molecular biology; In vitro; In vivo; Hypertrophic scar; Transforming growth factor beta; Chemistry; Fibrosis; Hydroxyproline; Growth factor; Immunology; Biology; Pathology; Endocrinology; Medicine; Biochemistry; Receptor","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":[0.0002432561,0.000252187,0.0002161661,0.0002278108,0.0001290726,0.0001949605,0.0001227216,0.0002100835,0.0008425672],"category_scores_gemma":[0.0001367533,0.0001871828,0.000201643,0.0001136201,0.0003016019,0.0001078928,0.0001100836,0.0004548576,0.0002501345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429271,"about_ca_system_score_gemma":0.0001859584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004633307,"about_ca_topic_score_gemma":0.0007082674,"domain_scores_codex":[0.9998313,0.00004398923,0.00001381008,0.00002317539,0.0000391715,0.00004846741],"domain_scores_gemma":[0.9998518,0.00004082694,0.00002742158,0.00001438128,0.00001969007,0.00004583963],"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":[0.0005140472,0.00003768368,0.0001924601,0.0000216354,0.000002816245,0.00002483557,0.00001536922,0.00001871945,0.9983721,0.00002133152,0.00001800812,0.0007608666],"study_design_scores_gemma":[0.0001359305,0.001803498,0.01860337,0.00001123595,0.00003492101,0.0005826369,0.00009100776,0.0006868063,0.9762992,0.00006216022,0.001683002,0.000006129631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943869,0.003159306,0.0008126493,0.0001006513,0.0000298499,0.00002074906,0.0001782661,0.00002899941,0.001282605],"genre_scores_gemma":[0.9930193,0.002045148,0.001467075,0.0001184204,0.0000413695,0.00009829638,0.0005587065,0.00001456329,0.002637181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008425672,"threshold_uncertainty_score":0.002818704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450213876451365,"score_gpt":0.3143159733457041,"score_spread":0.2898138345811905,"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."}}