{"id":"W2752162194","doi":"10.1103/physrevfluids.2.113101","title":"Entrainment and scattering in microswimmer-colloid interactions","year":2017,"lang":"en","type":"preprint","venue":"Physical Review Fluids","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Research Council","keywords":"Physics; Scattering; RADIUS; Thermal diffusivity; Particle (ecology); Range (aeronautics); Impact parameter; Classical mechanics; Atomic physics; Optics; Quantum mechanics; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001369029,0.0003155403,0.0006983642,0.00004170719,0.00009753607,0.0001114347,0.0003118533,0.00003176596,0.0001493801],"category_scores_gemma":[0.00001158429,0.0002929407,0.0002507751,0.0000429527,0.00007809596,0.00007891613,0.0007287569,0.0005943405,0.00007507216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000607777,"about_ca_system_score_gemma":0.00007181678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001617498,"about_ca_topic_score_gemma":0.000004627492,"domain_scores_codex":[0.9987383,0.00005489523,0.000342857,0.0004608359,0.0001195701,0.0002835245],"domain_scores_gemma":[0.999042,0.0000512598,0.00017486,0.0005961413,0.00003061311,0.000105143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003327164,0.002796114,0.01861056,0.01361759,0.0009171279,0.00002116286,0.001890482,0.00006043334,0.5769029,0.02819723,0.01870572,0.3382474],"study_design_scores_gemma":[0.004363721,0.0002630807,0.02067052,0.1214968,0.003086588,0.00002160826,0.000235214,0.007038675,0.1098217,0.1031533,0.6225036,0.007345197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8585514,0.08706667,0.004098987,0.007643541,0.002392179,0.004631692,0.0005762046,0.0001010925,0.03493828],"genre_scores_gemma":[0.9908519,0.007511852,0.0003122448,0.000253691,0.0006179883,0.0001589794,0.00009415515,0.00003148982,0.0001677053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6037979,"threshold_uncertainty_score":0.9999523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274076472152448,"score_gpt":0.342131954919429,"score_spread":0.3193911901979045,"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."}}