{"id":"W4404568725","doi":"10.1039/d4lc00816b","title":"A multimodal digital microfluidic testing platform for antibody-producing cell lines","year":2024,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Digital microfluidics; Cell culture; Antibody; Nanotechnology; Chemistry; Computer science; Materials science; Biology; Immunology","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":[0.0001149629,0.0002203978,0.0001699403,0.0001645656,0.00008400242,0.0001947974,0.000176712,0.0001210666,0.000003489616],"category_scores_gemma":[0.0002236644,0.0001994145,0.00007972869,0.0003031675,0.00002851067,0.0001479182,0.00003649712,0.0002842087,0.00007870852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005880462,"about_ca_system_score_gemma":0.00002750543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008650527,"about_ca_topic_score_gemma":5.527387e-7,"domain_scores_codex":[0.9989626,0.000002336901,0.000202703,0.0003239325,0.00007965535,0.0004287169],"domain_scores_gemma":[0.9994414,0.0002389051,0.00001609744,0.0002399052,0.00002685375,0.00003680592],"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":[0.000006855616,0.00001785103,0.0001326459,0.0003993298,0.00002486509,0.0000132074,0.0002102195,0.00004578362,0.9141399,0.0001419008,0.007144251,0.07772316],"study_design_scores_gemma":[0.0002570332,0.0001439145,0.0000866734,0.0003411953,0.00001627592,0.00002535314,0.00006453992,0.004366434,0.9689515,0.0004862781,0.02496673,0.0002940616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729906,0.01595205,0.003733397,0.0001340095,0.0005090031,0.0002547127,0.00006366528,0.004275388,0.002087178],"genre_scores_gemma":[0.9965733,0.000196307,0.002250035,0.0000366184,0.0002818682,0.00003147497,0.00004222724,0.00008494846,0.0005031646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07742909,"threshold_uncertainty_score":0.8131887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551203446319373,"score_gpt":0.2399403786315307,"score_spread":0.224428344168337,"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."}}