{"id":"W4406051424","doi":"10.1002/alz.092690","title":"Alzheimer’s disease modeling and drug screening through hiPSC 3D bioprinting","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Drug; Disease; Medicine; Drug discovery; Pharmacology; Bioinformatics; Internal medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868806,0.0005269101,0.0003161634,0.0005187176,0.0001604872,0.0004447893,0.000354145,0.0004904594,0.0007331378],"category_scores_gemma":[0.0001973675,0.0002068758,0.0006983705,0.0002626274,0.0002537484,0.0001990542,0.0003202159,0.0003361172,0.0004091316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964131,"about_ca_system_score_gemma":0.0002485633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009893874,"about_ca_topic_score_gemma":0.0009581759,"domain_scores_codex":[0.9997619,0.00002265839,0.0000174522,0.00004756984,0.0001252468,0.00002519668],"domain_scores_gemma":[0.9998834,0.00002424485,0.00003254931,0.00002106307,0.00002630921,0.00001241659],"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":[0.0000626914,0.0000620024,0.0003957147,0.000132537,0.00002677896,0.0001983666,0.0000389801,0.008951391,0.9778836,0.0002770428,0.0002751627,0.0116957],"study_design_scores_gemma":[0.00001354764,0.0001551674,0.00100481,0.000012166,0.00003583365,0.0002211669,0.00001004619,0.02621965,0.9685705,0.0001336626,0.003603978,0.00001958932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.802146,0.004843987,0.1804928,0.0002768897,0.0001093058,0.000294934,0.001647175,0.00222857,0.007960455],"genre_scores_gemma":[0.8754077,0.003471901,0.1162502,0.0001420931,0.00002432394,0.0002984304,0.001237167,0.0001374286,0.003030817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009893874,"threshold_uncertainty_score":0.002452612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832568385983032,"score_gpt":0.3015255663935774,"score_spread":0.253199882533747,"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."}}