{"id":"W4404958999","doi":"10.3390/biomimetics9120733","title":"Three-Dimensional Bioprinting for Retinal Tissue Engineering","year":2024,"lang":"en","type":"review","venue":"Biomimetics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université de Sherbrooke","funders":"","keywords":"Biomimetics; Scaffold; 3D bioprinting; Computer science; Tissue engineering; Bench to bedside; Nanotechnology; Regenerative medicine; Engineering; Artificial intelligence; Materials science; Biomedical engineering; Biology; Stem cell; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007846004,0.0005747802,0.001083546,0.0005791094,0.00005456827,0.0001484733,0.0005715362,0.0006157736,0.00007033999],"category_scores_gemma":[0.0004986076,0.0004951617,0.0004435204,0.0007159159,0.00007791883,0.00002829321,0.0003337757,0.0008308165,0.0008117679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387481,"about_ca_system_score_gemma":0.0001431553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004834583,"about_ca_topic_score_gemma":0.000001128027,"domain_scores_codex":[0.9974966,0.00001574763,0.0007558961,0.0005185048,0.0004675163,0.000745733],"domain_scores_gemma":[0.9985415,0.0006101588,0.00006213783,0.0004820878,0.00007114001,0.00023302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.968379e-7,0.00001106715,1.700471e-7,0.06072419,0.0002988442,0.00002880457,0.000004494284,0.00003874029,0.0001008371,0.0007069917,0.008363735,0.9297211],"study_design_scores_gemma":[0.00006733633,0.00003323713,3.205326e-7,0.01049175,0.0005039383,0.00004133903,3.662053e-7,0.02334066,0.000136351,0.00008859197,0.964811,0.0004850963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005616663,0.9803345,0.01567871,0.00002205865,0.00207244,0.0008453956,0.0001189896,0.0007747994,0.0001475439],"genre_scores_gemma":[0.000007868075,0.9536301,0.04419907,0.000003807078,0.001167214,0.0002296715,0.0001373699,0.0003623451,0.0002625048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9564473,"threshold_uncertainty_score":0.9999662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05931449319413645,"score_gpt":0.354804699311501,"score_spread":0.2954902061173645,"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."}}