{"id":"W3209891406","doi":"10.3389/fbioe.2021.756399","title":"Adapting the Scar-in-a-Jar to Skin Fibrosis and Screening Traditional and Contemporary Anti-Fibrotic Therapies","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"H2020 European Research Council; Biocenter Finland; European Commission; European Regional Development Fund; Opetushallitus; Finnish National Board of Education; Tays; Academy of Finland; Pirkanmaan Sairaanhoitopiiri; Tampereen Tuberkuloosisäätiö; Science Foundation Ireland; Päivikki ja Sakari Sohlbergin Säätiö","keywords":"Myofibroblast; Fibrosis; Extracellular matrix; Cancer research; Medicine; Macromolecular crowding; Fibroblast; Transforming growth factor; In vitro; Cell biology; Chemistry; Pathology; Biology; Internal medicine; Biochemistry","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":[0.000912033,0.0007124572,0.001268567,0.0005503587,0.0004510992,0.001032898,0.0008462745,0.00100637,0.002420072],"category_scores_gemma":[0.0004609759,0.0003664868,0.0006982194,0.0003192429,0.0004364989,0.0005203955,0.0008687368,0.001843752,0.001975276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988376,"about_ca_system_score_gemma":0.0003046083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004491007,"about_ca_topic_score_gemma":0.0009511613,"domain_scores_codex":[0.9988932,0.0003151159,0.0001298307,0.0001652354,0.0003745858,0.0001220074],"domain_scores_gemma":[0.9996356,0.00007010304,0.00008044323,0.00006753545,0.00007150356,0.00007486116],"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":[0.0001157383,0.0001746164,0.0002821475,0.0003222751,0.00001232033,0.0001469079,0.00005666208,0.0003862299,0.9918195,0.0003667487,0.000603515,0.005713328],"study_design_scores_gemma":[0.00005132494,0.00159906,0.003986371,0.0001368117,0.0001053498,0.001565688,0.0003185721,0.008656484,0.9189485,0.0004947948,0.06406017,0.0000768918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6959631,0.02419687,0.239426,0.002166901,0.001736521,0.002431378,0.01000682,0.003105515,0.02096694],"genre_scores_gemma":[0.6686726,0.01747236,0.2798028,0.001043673,0.0002329811,0.001631657,0.01081241,0.0005023502,0.01982911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002420072,"threshold_uncertainty_score":0.00809592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748421775250761,"score_gpt":0.2436054718414169,"score_spread":0.2161212540889093,"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."}}