{"id":"W3025737376","doi":"10.1039/d0sm00879f","title":"Driven dynamics in dense suspensions of microrollers","year":2020,"lang":"en","type":"preprint","venue":"Soft Matter","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Division of Materials Research; Materials Research Science and Engineering Center, Harvard University; Nvidia; National Science Foundation","keywords":"Suspension (topology); Lubrication; Brownian motion; Particle (ecology); Mechanics; Tracking (education); Materials science; Brownian dynamics; Lubrication theory; Colloid; Physics; Chemistry; Composite material; Geology; Mathematics","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":[0.0001801011,0.0003984073,0.0004387539,0.0003431245,0.0003970624,0.000485264,0.0005758508,0.0004068737,0.0005548891],"category_scores_gemma":[0.0006512999,0.0002143915,0.0002667483,0.0002273802,0.0004650819,0.0004901282,0.0005928026,0.0004994465,0.00007506316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372149,"about_ca_system_score_gemma":0.0007962199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004215702,"about_ca_topic_score_gemma":0.002550147,"domain_scores_codex":[0.9998634,0.0000107084,0.000009159545,0.000033766,0.00005082256,0.00003214983],"domain_scores_gemma":[0.9998156,0.00005131494,0.00004347996,0.00002108159,0.0000306805,0.00003782868],"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":[0.0002251925,0.0003186622,0.007923272,0.0001383072,0.00008993266,0.0004622223,0.0003092969,0.3717246,0.6031694,0.005303635,0.0003090049,0.01002659],"study_design_scores_gemma":[0.00009444479,0.0001854863,0.00440733,0.000005783927,0.00001348534,0.00004547806,0.00004881634,0.92357,0.07009259,0.0009947356,0.0005077396,0.00003409009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898542,0.00004589554,0.009153526,0.00004668699,0.00001171427,0.00001947087,0.00008173272,0.0001034767,0.0006833363],"genre_scores_gemma":[0.9930788,0.00003203996,0.006436604,0.00002376536,0.000004466031,0.0000331783,0.0001593561,0.00001140552,0.0002202997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004215702,"threshold_uncertainty_score":0.00838232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229357840004667,"score_gpt":0.2392757463519727,"score_spread":0.226982167951926,"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."}}