{"id":"W2767768249","doi":"10.1038/s41598-017-15665-2","title":"How gluttonous cell aggregates clear substrates coated with microparticles","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute for Materials Science; Labex CelTisPhyBio; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche","keywords":"Internalization; Monolayer; Cell; Materials science; Substrate (aquarium); Volume fraction; Adhesive; Biophysics; Particle (ecology); Particle size; Chemical engineering; Chemistry; Nanotechnology; Composite material; Layer (electronics); Biology; Biochemistry","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002728112,0.0001761107,0.000171841,0.00007998067,0.0006331268,0.00163819,0.0002641763,0.00009427853,0.00001140112],"category_scores_gemma":[0.0000527066,0.0001324473,0.00004360575,0.0001218284,0.0007255611,0.0002517528,0.0000734315,0.0001217905,0.00002647447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002619753,"about_ca_system_score_gemma":0.0000331488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002970457,"about_ca_topic_score_gemma":0.00003570773,"domain_scores_codex":[0.9988072,0.000006953874,0.0001956576,0.0004187779,0.0001901828,0.0003812532],"domain_scores_gemma":[0.9984067,0.000009072633,0.0001617299,0.001257602,0.00009402,0.0000708641],"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":[0.000005267012,0.00002034669,0.004823034,0.00003242615,0.00001289628,0.0006465832,0.0000739696,0.00002776119,0.9773912,0.00001388566,0.01471754,0.002235027],"study_design_scores_gemma":[0.00009043259,0.00002852695,0.0009038604,0.00004387233,0.00001524258,0.000241186,0.0001882784,0.0002611185,0.9704714,0.0004539974,0.02709596,0.00020613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946986,0.001420044,0.00009451953,0.0002722088,0.001491381,0.000137274,0.000002296037,0.0008198665,0.001063817],"genre_scores_gemma":[0.9971787,0.000057128,0.0009949608,0.000003477213,0.00002491582,0.000003423396,0.000009734055,0.00002617539,0.001701449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237842,"threshold_uncertainty_score":0.9993982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145886343047214,"score_gpt":0.1874139545427274,"score_spread":0.1759550911122552,"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."}}