{"id":"W4386135381","doi":"10.1103/physreve.108.024610","title":"Wildebeest herds on rolling hills: Flocking on arbitrary curved surfaces","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Damon Runyon Cancer Research Foundation; Chan Zuckerberg Initiative; McMaster Institute for Research on Aging, McMaster University; Burroughs Wellcome Fund; Howard Hughes Medical Institute","keywords":"Wildebeest; Flocking (texture); Geology; Geometry; Physics; Materials science; Biology; Mathematics; Ecology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001931189,0.0002467956,0.0004559768,0.0000411275,0.000133452,0.00003733171,0.0002189525,0.00002195738,0.00008024567],"category_scores_gemma":[0.00002421325,0.0001984806,0.0002822828,0.0004507964,0.00002827451,0.00007661895,0.00005936425,0.0003018979,0.001662642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001970492,"about_ca_system_score_gemma":0.00003412268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003598175,"about_ca_topic_score_gemma":7.763252e-7,"domain_scores_codex":[0.9986824,0.0000882437,0.0002512725,0.0003509884,0.0002585792,0.0003685523],"domain_scores_gemma":[0.9991301,0.0002737095,0.0001030936,0.0003514916,0.00003233281,0.0001092708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001756895,0.00444909,0.03143826,0.003118953,0.000939434,0.00007131045,0.0008853611,0.02299725,0.03608129,0.3961995,0.1523426,0.3513013],"study_design_scores_gemma":[0.004383013,0.00179341,0.02397314,0.03092916,0.0009914625,0.000002617018,0.0002514062,0.08317196,0.1238103,0.1536269,0.571541,0.005525708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824914,0.001150244,0.0001141051,0.001009134,0.0002713916,0.0004124719,0.00004755639,0.0001656892,0.014338],"genre_scores_gemma":[0.9971668,0.0009177263,0.00005957888,0.0005612255,0.0008443497,0.00002399362,0.0001092534,0.00004118653,0.0002758705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4191984,"threshold_uncertainty_score":0.9991147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616414413078059,"score_gpt":0.3378638282548891,"score_spread":0.3116996841241085,"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."}}