{"id":"W4391427941","doi":"10.1016/j.stem.2023.12.014","title":"Bioprinting functional neural networks","year":2024,"lang":"en","type":"article","venue":"Cell stem cell","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Biology; Computational biology; Neuroscience","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003037797,0.0001451124,0.0001087137,0.0001098407,0.00005965696,0.0001567893,0.0001932603,0.0001208609,0.0006111518],"category_scores_gemma":[0.000004178838,0.0001367471,0.00008617335,0.0003622727,0.00004637661,0.00007103869,0.0001127883,0.0005394635,0.0008688334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007329936,"about_ca_system_score_gemma":0.00001729601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004636871,"about_ca_topic_score_gemma":5.345642e-7,"domain_scores_codex":[0.9987763,0.000023127,0.000203899,0.0002492869,0.0002971128,0.0004503189],"domain_scores_gemma":[0.9993972,0.0002161567,0.000009300086,0.0001978814,0.00002250307,0.0001569141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001536784,0.0000910274,0.002393789,0.003593989,0.00009749661,0.0003650021,0.0003588747,0.4480459,0.1085584,0.0005879761,0.08111241,0.3547798],"study_design_scores_gemma":[0.00008693206,0.00001266671,0.0004310126,0.00003628963,0.000006916032,0.000005677672,0.00002786573,0.9276049,0.01498003,0.00002222783,0.05662454,0.0001609892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6374856,0.01447297,0.1128846,0.0001882946,0.008430739,0.0003524169,0.000006248169,0.003013992,0.2231652],"genre_scores_gemma":[0.9931698,0.00007793313,0.0001946068,0.00002215605,0.0005692495,0.00001270571,0.000008154371,0.00005652695,0.005888835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4795589,"threshold_uncertainty_score":0.9999091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658198825392126,"score_gpt":0.2215729463310903,"score_spread":0.204990958077169,"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."}}