{"id":"W3115849498","doi":"10.1039/d0sm02052d","title":"Active mixtures in a narrow channel: Motility diversity changes cluster sizes","year":2021,"lang":"en","type":"article","venue":"Research Portal (King's College London)","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Cluster (spacecraft); Cluster size; Active matter; Chemical physics; Persistence (discontinuity); Diversity (politics); Channel (broadcasting); Evolutionary biology; Physics; Statistical physics; Biophysics; Biological system; Chemistry; Biology; Molecular dynamics; Geology; Computational chemistry; Computer science; Genetics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008366104,0.0002541128,0.0004231573,0.0002686273,0.0006051187,0.00008114625,0.0004011696,0.0001314584,0.001495615],"category_scores_gemma":[0.0001006577,0.0002547391,0.0001664523,0.001044677,0.0002001634,0.000225891,0.001208427,0.0008112913,0.00005570414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500353,"about_ca_system_score_gemma":0.0003651312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358711,"about_ca_topic_score_gemma":0.00271777,"domain_scores_codex":[0.9969286,0.0004599927,0.0002640424,0.0006459349,0.0007454694,0.0009560099],"domain_scores_gemma":[0.9984159,0.0003519823,0.00008720995,0.0004608686,0.0004428407,0.0002412052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002832241,0.008342291,0.726289,0.001196086,0.001654017,0.006719796,0.02339973,0.00110081,0.03409384,0.04239737,0.1314198,0.02055506],"study_design_scores_gemma":[0.02146458,0.001396469,0.2730366,0.001334609,0.0002380663,0.0001080319,0.04537852,0.006476018,0.541221,0.05782756,0.04756927,0.003949301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694207,0.0005069295,0.00009027598,0.001938822,0.0002876476,0.0008018068,0.0005549475,0.00004377534,0.02635506],"genre_scores_gemma":[0.9937039,0.00002938893,0.00009778637,0.000102147,0.0003645202,0.00004553839,0.000107089,0.00002793257,0.005521702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5071272,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362576629415415,"score_gpt":0.3106270043108018,"score_spread":0.2743693413692603,"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."}}