{"id":"W4409235828","doi":"10.1088/1758-5090/adb74a","title":"Corrigendum: Toward a neurospheroid niche model: optimizing embedded 3D bioprinting for fabrication of neurospheroid brain-like co-culture constructs (2021 <i>Biofabrication</i> 13 015014)","year":2025,"lang":"en","type":"erratum","venue":"Biofabrication","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Biofabrication; 3D bioprinting; Materials science; Fabrication; Nanotechnology; Biomedical engineering; Medicine; Tissue engineering","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009464563,0.001019522,0.001231697,0.0005133499,0.0003345332,0.000284902,0.001746077,0.001616859,0.0001086354],"category_scores_gemma":[0.002856498,0.00112909,0.0004780479,0.002067773,0.0004539684,0.0003187581,0.0003619129,0.00201252,0.00006122937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006084284,"about_ca_system_score_gemma":0.001018146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006255045,"about_ca_topic_score_gemma":0.000005809324,"domain_scores_codex":[0.9938006,0.0002125461,0.001891068,0.001585757,0.001320159,0.001189837],"domain_scores_gemma":[0.9946231,0.0005008561,0.001051974,0.001822926,0.001613985,0.0003871912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004982241,0.0001321644,0.00008472105,0.002654861,0.0001994078,0.000002367837,0.0004038175,0.005670645,0.05747409,0.0003027192,0.8986507,0.03437467],"study_design_scores_gemma":[0.001051975,0.0001637395,0.0002838897,0.0006757957,0.0002478632,0.00001412447,0.0001453037,0.6215432,0.01833927,0.000293643,0.3560171,0.001224026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001127197,0.006112489,0.9046305,0.002062751,0.02914104,0.006464044,0.001438713,0.001936255,0.04708701],"genre_scores_gemma":[0.1281681,0.02071639,0.4125563,0.002969666,0.00785091,0.005534186,0.02500717,0.002221483,0.3949758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6158726,"threshold_uncertainty_score":0.9996793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543869549888366,"score_gpt":0.2878223920655198,"score_spread":0.2623836965666362,"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."}}