{"id":"W2940324129","doi":"10.1016/j.tice.2019.04.004","title":"PLLA scaffolds with controlled architecture as potential microenvironment for in vitro tumor model","year":2019,"lang":"en","type":"article","venue":"Tissue and Cell","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"DAPI; Tumor microenvironment; Adhesion; Biophysics; In vivo; Biology; Cancer cell; Cell adhesion; Cell; In vitro; Cell culture; Staining; Materials science; Nanotechnology; Cancer; Tumor cells; Cancer research; Biochemistry; Composite material","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":[0.0001723118,0.0002847198,0.0001214451,0.0002442892,0.0001595112,0.0003329145,0.0001595987,0.0003161532,0.0007007736],"category_scores_gemma":[0.0001651415,0.0001418278,0.000128307,0.000178052,0.0001708207,0.0003311091,0.0001408107,0.0002434976,0.000186431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501926,"about_ca_system_score_gemma":0.0001590717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003449372,"about_ca_topic_score_gemma":0.0008597866,"domain_scores_codex":[0.9998913,0.00001580468,0.000008669902,0.00003145532,0.00002425008,0.00002859615],"domain_scores_gemma":[0.9998691,0.00003845915,0.00004425144,0.00001414037,0.00001557281,0.00001841424],"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":[0.00005111771,0.00002148983,0.0001031863,0.00003868084,0.000002246789,0.00004507789,0.00001356761,0.0003122959,0.997645,0.0001419092,0.00002911936,0.001596226],"study_design_scores_gemma":[0.00001280454,0.0001696068,0.0008801757,0.000003782698,0.00001714745,0.00009933302,0.00001587508,0.002235684,0.9943816,0.00006913472,0.002108886,0.00000590829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688085,0.001867221,0.02569896,0.00009872364,0.0001083492,0.00005956458,0.0003119315,0.0002505805,0.00279621],"genre_scores_gemma":[0.99052,0.0004323189,0.007828501,0.00003413792,0.00002004556,0.00005563003,0.0001275045,0.0000254571,0.0009562937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007007736,"threshold_uncertainty_score":0.00234431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002124139463104817,"score_gpt":0.1624612687777044,"score_spread":0.1603371293145996,"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."}}