{"id":"W4223548340","doi":"10.3390/mi13040587","title":"Uniform Tumor Spheroids on Surface-Optimized Microfluidic Biochips for Reproducible Drug Screening and Personalized Medicine","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; McGill University; McGill University Health Centre; Polytechnique Montréal","funders":"Polytechnique Montréal; Royal Bank of Canada; McGill University","keywords":"Spheroid; Biochip; Biomedical engineering; Cell culture; In vivo; Materials science; Lung cancer; Microfluidics; 3D cell culture; Chemistry; Nanotechnology; Cancer research; Biology; Medicine; Pathology; Biotechnology","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":[0.0003170805,0.0004477768,0.0004376186,0.0002917359,0.0001455486,0.0003538826,0.0002734272,0.0003475441,0.0004516969],"category_scores_gemma":[0.0002742038,0.0002275579,0.0002916872,0.0002531293,0.0002008042,0.0002709432,0.000287506,0.0004177011,0.0003271505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776253,"about_ca_system_score_gemma":0.0003226238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005520036,"about_ca_topic_score_gemma":0.001251575,"domain_scores_codex":[0.9997192,0.00003510288,0.00003478847,0.0000756203,0.00008986396,0.00004535961],"domain_scores_gemma":[0.9998584,0.00004626916,0.00003228103,0.00001852489,0.00003042435,0.00001405341],"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":[0.00002218358,0.00001197083,0.00007036569,0.00003968279,0.00000375577,0.00001929972,0.00001213438,0.0008014947,0.9967903,0.0001253839,0.00009295785,0.002010247],"study_design_scores_gemma":[0.00001096772,0.00008599887,0.0007821218,0.000003807526,0.000009445582,0.00003758941,0.000008511891,0.006905925,0.9902858,0.00006051728,0.001798731,0.00001060185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681175,0.004804528,0.2181187,0.000451238,0.0002417836,0.0005428115,0.002209255,0.001673766,0.003840376],"genre_scores_gemma":[0.8479211,0.002068492,0.1468124,0.0001121609,0.00003593708,0.0004870761,0.001002645,0.00009315307,0.001466938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005520036,"threshold_uncertainty_score":0.003465414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314483107127627,"score_gpt":0.2728676293966067,"score_spread":0.2497227983253305,"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."}}