{"id":"W4389095823","doi":"10.1002/adfm.202309173","title":"3D Assembly of Cryo(Bio)Printed Modular Units for Shelf‐Ready Scalable Tissue Fabrication","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Brigham Research Institute","keywords":"Modular design; Fabrication; Materials science; Nanotechnology; Scalability; 3D printing; Interface (matter); Self-healing hydrogels; Computer science; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.000519523,0.0001427819,0.0002405166,0.0001991196,0.00006673564,0.00002872438,0.0001699142,0.0001131195,0.0004214211],"category_scores_gemma":[0.001084262,0.000145404,0.00002410019,0.0006644658,0.00005502761,0.0001568385,0.00006973445,0.00007290043,0.0003366953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007620386,"about_ca_system_score_gemma":0.00003911604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000146001,"about_ca_topic_score_gemma":0.000001175794,"domain_scores_codex":[0.9986348,0.00003543912,0.0003824444,0.0002340857,0.0003634011,0.0003498918],"domain_scores_gemma":[0.998812,0.000348755,0.00006082592,0.0002561257,0.0004362375,0.00008609928],"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":[0.0000595839,0.0000166178,0.00002572571,0.0002659078,0.00003932032,8.853289e-7,0.00001240332,0.02194034,0.9659747,0.001277438,0.001992241,0.008394868],"study_design_scores_gemma":[0.0004580737,0.00007576245,0.009169223,0.00006516927,0.00001140239,0.000001691444,0.00001838683,0.008204213,0.9565112,0.001131359,0.02419327,0.0001602706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180585,0.00005942999,0.07742192,0.0001322769,0.002087821,0.0006077429,0.0002684233,0.0006553792,0.0007084715],"genre_scores_gemma":[0.9918777,0.00006585108,0.005630134,0.00001868634,0.0002440434,0.0002756442,0.0006701464,0.00005671873,0.001161117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07381912,"threshold_uncertainty_score":0.5929404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784415368198652,"score_gpt":0.2958292456283355,"score_spread":0.257985091946349,"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."}}