{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503087,0.0006640747,0.0007189747,0.001161954,0.000594862,0.001354033,0.0005919458,0.001700874,0.006517955],"category_scores_gemma":[0.000378884,0.0002716918,0.0003647898,0.0007492015,0.001526874,0.002145999,0.001541062,0.002649554,0.003392547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007597206,"about_ca_system_score_gemma":0.000584351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002199597,"about_ca_topic_score_gemma":0.0004596204,"domain_scores_codex":[0.9996182,0.00008669597,0.00002376879,0.0000751214,0.0001513987,0.00004481256],"domain_scores_gemma":[0.9998524,0.00005897682,0.00001734099,0.00001415468,0.00003197451,0.00002514811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007815594,0.0001112783,0.0002525824,0.00371453,0.00004007649,0.0004230312,0.0003996228,0.001137083,0.05042267,0.4961622,0.04646282,0.4007959],"study_design_scores_gemma":[0.00001247707,0.0001450336,0.0001795223,0.0005960315,0.0000115586,0.0005248978,0.00009069022,0.00056476,0.01233181,0.07828604,0.9072276,0.0000294743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00381114,0.8979912,0.01607564,0.008062362,0.004288474,0.00006738752,0.000133344,0.0002300837,0.06934039],"genre_scores_gemma":[0.08703079,0.8170764,0.02766889,0.006872405,0.004327299,0.0002491888,0.0002288337,0.00009463798,0.05645157],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006517955,"threshold_uncertainty_score":0.02180469,"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."}}