{"id":"W3042256866","doi":"10.1126/sciadv.aba9589","title":"Cell invasion in digital microfluidic microgel systems","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University Health Network; University of Toronto","funders":"","keywords":"Microfluidics; Digital microfluidics; Cell; Transcriptome; Nanotechnology; Cell biology; Materials science; Biology; Optoelectronics; Biochemistry; Gene expression; Gene","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":[0.0001103621,0.0001086611,0.0001202373,0.0001200758,0.00006560872,0.0001124372,0.0004318552,0.00003767294,0.000001387403],"category_scores_gemma":[0.00007649341,0.00009984268,0.00001878413,0.0009091027,0.0002233713,0.0007469677,0.00006216999,0.0001447168,0.0000606733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005908663,"about_ca_system_score_gemma":0.00004140762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004116984,"about_ca_topic_score_gemma":3.92851e-7,"domain_scores_codex":[0.9990771,0.000002721531,0.0001601978,0.00025493,0.0001431139,0.0003619133],"domain_scores_gemma":[0.9997437,0.00002097962,0.00002057845,0.0001316358,0.00002180938,0.00006128359],"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":[0.000001277865,0.0000049248,0.001193192,0.00004759897,5.307792e-7,0.000005687807,0.0001509843,0.0001860145,0.9864025,0.00002730157,0.001058343,0.01092161],"study_design_scores_gemma":[0.0001108304,0.00003788772,0.00005132313,0.00003398479,8.885846e-7,0.000005727915,0.0006442404,0.0001479439,0.9720651,0.00007578009,0.02669165,0.0001346806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056811,0.09119,0.0007893081,0.0001447436,0.0002120209,0.0001004671,0.000005060361,0.0005970552,0.001280257],"genre_scores_gemma":[0.9981506,0.001555786,0.0001772812,0.00004645414,0.00002352211,0.000006970976,0.000001183947,0.00001051685,0.00002771514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09246948,"threshold_uncertainty_score":0.4071466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008061411508198012,"score_gpt":0.2023723970747878,"score_spread":0.1943109855665898,"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."}}