{"id":"W3188580877","doi":"10.30699/mmlj17.4.1.39","title":"Smart Materials in Regenerative Medicine","year":2021,"lang":"en","type":"article","venue":"Modern Medical Laboratory Journal","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royan Institute","keywords":"Regenerative medicine; Smart material; Biomedical engineering; Blood circulation; Nanotechnology; Computer science; Medicine; Materials science; Biology; Stem cell; Cell biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006593595,0.0001325369,0.0002867481,0.00009813674,0.0000727009,0.0000405595,0.0001558314,0.0001428194,0.002967377],"category_scores_gemma":[0.0001653265,0.0001111829,0.00002304175,0.0003380073,0.00006829903,0.0001055074,0.00002437376,0.0002663203,0.0000331036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005562287,"about_ca_system_score_gemma":0.0002134349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003672366,"about_ca_topic_score_gemma":0.00004999125,"domain_scores_codex":[0.9985921,0.0001408383,0.0004847438,0.0001377799,0.0003992153,0.0002452788],"domain_scores_gemma":[0.9993285,0.00004238802,0.0000424118,0.0001713826,0.0001449542,0.0002703516],"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":[0.000009829482,0.00005569983,0.0005508936,0.00003887139,0.00005045369,0.0006808573,0.0005920531,0.0001935233,0.9782814,0.001784303,0.01533589,0.002426178],"study_design_scores_gemma":[0.002646071,0.00006559872,0.005670973,0.0005078797,0.00004372157,0.0005629382,0.0002610659,0.002994812,0.9220668,0.01189844,0.05272719,0.0005544741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870732,0.003275215,0.005702113,0.001930968,0.001029416,0.00006046129,0.00003088701,0.00007942791,0.0008182612],"genre_scores_gemma":[0.9969473,0.001121802,0.0005512912,0.0005700132,0.000690429,0.00002242296,0.00002127008,0.00003002755,0.00004538043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05621462,"threshold_uncertainty_score":0.9979441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008022720801549265,"score_gpt":0.2279997037157698,"score_spread":0.2199769829142206,"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."}}