{"id":"W4377861065","doi":"10.1186/s42234-023-00112-7","title":"3D bioprinting patient-derived induced pluripotent stem cell models of Alzheimer’s disease using a smart bioink","year":2023,"lang":"en","type":"article","venue":"Bioelectronic Medicine","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Michael Smith Health Research BC; Alzheimer's Association","keywords":"Induced pluripotent stem cell; Cholinergic neuron; Neural stem cell; Neuroscience; Stem cell; Cell biology; Amyloid beta; Population; Biology; Cholinergic; Pathology; Medicine; Disease; Biochemistry; Embryonic stem cell","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002770548,0.0003341381,0.0002018727,0.0002341706,0.0001069891,0.0003502031,0.0002270564,0.0004447889,0.0006974948],"category_scores_gemma":[0.00011925,0.0001725173,0.0004263362,0.0001290634,0.0002344307,0.0001644793,0.0002419605,0.0003629068,0.0002632079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071135,"about_ca_system_score_gemma":0.0001946898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002750545,"about_ca_topic_score_gemma":0.0004139541,"domain_scores_codex":[0.9998412,0.00001207186,0.000015134,0.00003878877,0.00007232135,0.00002039978],"domain_scores_gemma":[0.9999112,0.00001905439,0.00003016342,0.00001558084,0.00001268662,0.00001131632],"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":[0.00003352093,0.00002196292,0.000269955,0.00006131533,0.00000830561,0.0001683899,0.00003630275,0.001036198,0.9948478,0.0002517235,0.00008450774,0.003179974],"study_design_scores_gemma":[0.00001212285,0.0002597553,0.001728848,0.00001027007,0.00003014949,0.000583412,0.00001656312,0.006170515,0.9864392,0.0001145954,0.004622161,0.00001254303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217619,0.001822105,0.06996187,0.0002019246,0.0001592622,0.0001766461,0.0009383641,0.0006392378,0.004338871],"genre_scores_gemma":[0.9389038,0.001242657,0.05566914,0.00009288655,0.0000206556,0.0002774903,0.0005720212,0.00005758098,0.003163692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006974948,"threshold_uncertainty_score":0.002333343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07176645716838956,"score_gpt":0.2881785187148173,"score_spread":0.2164120615464278,"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."}}