{"id":"W2959319687","doi":"10.1088/1758-5090/ab30b4","title":"Micropocket hydrogel devices for all-in-one formation, assembly, and analysis of aggregate-based tissues","year":2019,"lang":"en","type":"article","venue":"Biofabrication","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Cancer Society Research Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biofabrication; Multicellular organism; Aggregate (composite); Scalability; Simple (philosophy); Biological system; Nanotechnology; Computer science; Spheroid; Human breast; 3D cell culture; Materials science; Tissue engineering; Biomedical engineering; Cell culture; Biology; Cell; Cancer cell; Engineering; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389248,0.00006538682,0.00016476,0.000408365,0.00001244538,0.0000174142,0.0001084534,0.00006623528,0.00002192555],"category_scores_gemma":[0.00008002107,0.00006654236,0.00003707648,0.0006351942,0.0000238463,0.00009208416,0.00001605059,0.00004423019,0.0000133481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004852001,"about_ca_system_score_gemma":0.00001149613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004493546,"about_ca_topic_score_gemma":0.00004035867,"domain_scores_codex":[0.999324,0.00001520493,0.0002352783,0.0001215245,0.0001610138,0.0001430021],"domain_scores_gemma":[0.9994818,0.0001725909,0.00006008059,0.0001730007,0.00007219063,0.00004036186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003393615,0.0001294166,0.1618352,0.001600331,0.0005502464,3.379328e-7,0.0004614045,0.00303156,0.7700289,0.0004689411,0.0004038623,0.0614559],"study_design_scores_gemma":[0.0003867567,0.00003842399,0.1505357,0.00005988227,0.000115284,2.118603e-7,0.00003054774,0.6147762,0.2306479,0.00009377715,0.003190982,0.0001242443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851499,0.0004432332,0.01361811,0.0002186628,0.00002396051,0.0002923201,0.00001619804,0.00004661937,0.000191039],"genre_scores_gemma":[0.9949508,0.0000735879,0.004755464,0.00001906743,0.000008999146,0.00002937663,0.000132652,0.000009848307,0.0000202419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6117446,"threshold_uncertainty_score":0.2713519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155344510436064,"score_gpt":0.3025669808136882,"score_spread":0.2710135357093275,"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."}}