{"id":"W2293086775","doi":"10.1155/2016/5397319","title":"Production of a Self-Aligned Scaffold, Free of Exogenous Material, from Dermal Fibroblasts Using the Self-Assembly Technique","year":2016,"lang":"en","type":"article","venue":"Dermatology Research and Practice","topic":"Skin Protection and Aging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; Fondation CHU de Québec; Centre Hospitalier Universitaire de Québec","keywords":"Stroma; Biomedical engineering; Scaffold; Human skin; Matrix (chemical analysis); Fibroblast; Cell biology; Dermis; Extracellular matrix; Tissue engineering; Materials science; Cell culture; Computer science; Chemistry; Anatomy; Biology; Medicine; Pathology; Composite material","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":[0.0002073116,0.0002485917,0.0001216539,0.0002728712,0.0001470401,0.0002072194,0.0001501396,0.0002136285,0.000546378],"category_scores_gemma":[0.0001563054,0.0001487647,0.0002388886,0.0001473768,0.0001034452,0.0001450913,0.0001918818,0.0003002592,0.0003364203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007449255,"about_ca_system_score_gemma":0.0001285238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572856,"about_ca_topic_score_gemma":0.0004833888,"domain_scores_codex":[0.9998778,0.00001525244,0.00001248689,0.00002757549,0.00005347888,0.0000133115],"domain_scores_gemma":[0.9998597,0.00003160144,0.00003771824,0.00002616715,0.0000198298,0.00002501544],"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":[0.00001025342,0.00001317675,0.00009163677,0.0000291829,0.000002657017,0.00006927241,0.00001860005,0.00006532324,0.996973,0.00005106336,0.0000245136,0.002651278],"study_design_scores_gemma":[0.000008329511,0.0001365316,0.001258212,0.000006208129,0.00001218531,0.0003711012,0.00001515258,0.0009962871,0.9937689,0.00003855448,0.003383295,0.000005279373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649649,0.002752999,0.1265534,0.0001650912,0.0002231015,0.0001928372,0.0002696883,0.0003265252,0.004551396],"genre_scores_gemma":[0.9002441,0.00160948,0.09409107,0.0000651338,0.00003297152,0.00008538893,0.0003635334,0.00006099458,0.003447428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000546378,"threshold_uncertainty_score":0.001827776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0514346930317699,"score_gpt":0.3611519771759971,"score_spread":0.3097172841442272,"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."}}