{"id":"W2255693119","doi":"","title":"Micro/nano-scale strategies for engineering in vitro the celular microenvironment using biodegradable biomaterials","year":2011,"lang":"en","type":"dissertation","venue":"RepositóriUM (Universidade do Minho)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center; Samsung; Seoul National University; European Commission; National Science Foundation; National Institutes of Health; Fundação para a Ciência e a Tecnologia; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Nanotechnology; Tissue engineering; Biodegradable polymer; Materials science; Engineering; Biomedical engineering; Polymer; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000172401,0.0003384866,0.000130377,0.0001802662,0.0001379404,0.0004497159,0.0001614665,0.0002556432,0.001049889],"category_scores_gemma":[0.00009962385,0.0001713428,0.0002640475,0.00008734777,0.0003088953,0.0003159528,0.0002327964,0.0004382486,0.000605121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336988,"about_ca_system_score_gemma":0.0002619507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004073663,"about_ca_topic_score_gemma":0.001167285,"domain_scores_codex":[0.9998991,0.00001171564,0.000008612466,0.00001786917,0.0000454277,0.00001729714],"domain_scores_gemma":[0.9999385,0.00001247175,0.00002338793,0.000009905073,0.000007460901,0.000008258487],"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":[0.000005700352,0.00001913722,0.00004210556,0.00004940586,0.000002286552,0.00001952768,0.00001664752,0.0003527729,0.9959884,0.0008145347,0.00005182892,0.002637639],"study_design_scores_gemma":[0.000005385039,0.00008985719,0.0002700915,0.000007563223,0.000005510444,0.00005713185,0.00001585181,0.001108697,0.991439,0.0002432211,0.006752217,0.000005372076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.749078,0.01192194,0.2175382,0.0008205068,0.0004622275,0.0004982875,0.0004579285,0.0005847423,0.01863823],"genre_scores_gemma":[0.8087627,0.00767685,0.174211,0.0003568841,0.00007704661,0.0003461151,0.0003157019,0.0000904233,0.008163259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049889,"threshold_uncertainty_score":0.003512204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410437388071968,"score_gpt":0.2276686460579861,"score_spread":0.2135642721772664,"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."}}