{"id":"W4383999127","doi":"10.1002/biot.202200621","title":"Integrating spheroid‐on‐a‐chip with tubeless rocker platform: A high‐throughput biological screening platform","year":2023,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Throughput; Spheroid; Nanotechnology; High-throughput screening; Chip; Computer science; Computational biology; Chemistry; Biology; Materials science; Bioinformatics; Wireless; Operating system; Telecommunications","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":[0.000539813,0.0005823855,0.0007146645,0.0005448078,0.0002285851,0.000568825,0.0007419883,0.0008831692,0.001155982],"category_scores_gemma":[0.0003654726,0.0003274007,0.0005870205,0.0003899111,0.000296253,0.0004645818,0.0004213545,0.0006499633,0.00104679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789828,"about_ca_system_score_gemma":0.0005253044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005332616,"about_ca_topic_score_gemma":0.0008615679,"domain_scores_codex":[0.9993314,0.0001050578,0.00004664812,0.0001695121,0.000288159,0.00005919655],"domain_scores_gemma":[0.9996998,0.00008259821,0.0000517576,0.00006380164,0.0000664027,0.00003573327],"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":[0.00003676233,0.00004524781,0.00009288154,0.00008369041,0.00001244633,0.00006014506,0.00001859047,0.0005430615,0.9916,0.0002842986,0.0005118087,0.006711075],"study_design_scores_gemma":[0.00001317559,0.0002387307,0.000551782,0.000003845467,0.00001905909,0.0001189452,0.000008139658,0.008910527,0.9845745,0.00007555208,0.005458161,0.0000276961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3684161,0.003613453,0.6065688,0.0005635251,0.0004560163,0.001118475,0.003073724,0.01025728,0.005932692],"genre_scores_gemma":[0.4731582,0.002718782,0.511802,0.0003917464,0.00008095238,0.001383479,0.002698164,0.0002123084,0.007554325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001155982,"threshold_uncertainty_score":0.00386709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356433661216972,"score_gpt":0.2741886199165017,"score_spread":0.230624283304332,"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."}}