{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823473,0.0003091446,0.0002112262,0.0002805449,0.000208231,0.0005876536,0.0003451593,0.0003282007,0.0009867807],"category_scores_gemma":[0.0003908264,0.0001731883,0.0002178055,0.0001833309,0.0004374651,0.0004858764,0.0005128821,0.0003012278,0.0002983982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640882,"about_ca_system_score_gemma":0.0002612058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007625729,"about_ca_topic_score_gemma":0.001112945,"domain_scores_codex":[0.9997627,0.0000270672,0.00001731769,0.00006684358,0.00009562892,0.00003050383],"domain_scores_gemma":[0.9998255,0.00007025451,0.00004663848,0.00002309244,0.00001732983,0.00001731418],"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":[0.0001139903,0.00005336786,0.001614857,0.0003219341,0.00003385197,0.0001877061,0.0001627584,0.01658552,0.9446264,0.008593926,0.001149288,0.02655638],"study_design_scores_gemma":[0.00007303934,0.0003605671,0.005008024,0.00005647963,0.00005132573,0.0003830205,0.0001122737,0.1359985,0.8051174,0.004403232,0.04833897,0.00009719581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.603375,0.006732784,0.3688313,0.001012775,0.0005245007,0.0002935614,0.001304234,0.002144376,0.01578141],"genre_scores_gemma":[0.8931448,0.002199526,0.09600878,0.00037725,0.00008064443,0.0003425204,0.0004989305,0.00003994843,0.00730767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009867807,"threshold_uncertainty_score":0.004649937,"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."}}