{"id":"W3014227525","doi":"10.1038/s41598-020-62197-3","title":"Development of a conductive biocomposite combining graphene and amniotic membrane for replacement of the neuronal network of tissue-engineered urinary bladder","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University","keywords":"Biocomposite; Materials science; Graphene; Biomedical engineering; Biomaterial; Tissue engineering; Membrane; Nanotechnology; Composite number; Chemistry; Medicine; Composite material; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005128668,0.0001211339,0.0003834343,0.0000555824,0.00008277225,0.000004925576,0.00005468431,0.00003366029,0.00001479433],"category_scores_gemma":[0.0001244151,0.00008125285,0.00005972383,0.0003909605,0.0002975364,0.00002227648,0.00006200511,0.00008182679,9.857016e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001131046,"about_ca_system_score_gemma":0.0001295155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001735711,"about_ca_topic_score_gemma":3.682933e-7,"domain_scores_codex":[0.9985669,0.00002134386,0.000597849,0.000318425,0.0003430154,0.000152462],"domain_scores_gemma":[0.9990727,0.00004232382,0.0003113752,0.00028314,0.0001897494,0.0001006718],"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":[0.0001060438,0.0001010826,0.00131114,0.0006199996,0.0002048432,0.00001643496,0.002796723,0.002086418,0.9910883,0.0001574869,0.001185659,0.0003259188],"study_design_scores_gemma":[0.0009873126,0.0006033111,0.008442759,0.000412501,0.0001842324,0.0001410424,0.0002419481,0.001274358,0.9791163,0.00004203829,0.008449827,0.0001044288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927733,0.00152347,0.002974107,0.0004691028,0.001485814,0.0007256962,0.000003278244,0.00001529886,0.00002995534],"genre_scores_gemma":[0.9861298,0.00000335273,0.01326661,0.0000134133,0.00005377649,0.00001382228,0.00002387131,0.00001331168,0.000482008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197201,"threshold_uncertainty_score":0.3313395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583676707193043,"score_gpt":0.2552252724604458,"score_spread":0.2293885053885154,"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."}}