{"id":"W3011147389","doi":"10.1103/physrevlett.124.118101","title":"Chemokinetic Scattering, Trapping, and Avoidance of Active Brownian Particles","year":2020,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Scattering; Trapping; Brownian motion; Physics; Noise (video); Statistical physics; Computational physics; Optics; Computer science; Quantum mechanics; Biology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00003570274,0.0000867138,0.0001731111,0.000005318763,0.00001665743,0.000006063765,0.00009911121,0.000007825925,0.00000792095],"category_scores_gemma":[0.00006449129,0.00007514368,0.00007084504,0.00006134844,0.0001089192,0.000003024528,0.00007070131,0.00006124742,0.000004987857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002428243,"about_ca_system_score_gemma":0.000008174642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001960584,"about_ca_topic_score_gemma":8.169501e-7,"domain_scores_codex":[0.9994478,0.00003619705,0.0001087426,0.0001935924,0.00009099821,0.0001226918],"domain_scores_gemma":[0.9997022,0.000008918118,0.00005011734,0.0001206553,0.00001668321,0.0001014551],"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":[0.0000144793,0.00003112956,0.000173007,0.000459313,0.00001709674,8.896836e-7,0.00007771475,0.000006395252,0.9817403,0.00002925419,0.00105043,0.01640002],"study_design_scores_gemma":[0.001591414,0.0008043757,0.03106937,0.001535074,0.0001715193,0.00001159939,0.00007257102,0.007589492,0.8500599,0.0001022536,0.1061301,0.0008623351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848142,0.001569659,0.0003796809,0.01299345,0.00000831333,0.0001307995,0.000006711531,0.000005661787,0.00009149273],"genre_scores_gemma":[0.9753477,0.0038405,0.0001034777,0.0206043,0.00007042346,0.000009506887,0.000009946242,0.000009012495,0.000005145155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1316804,"threshold_uncertainty_score":0.306427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561962091583815,"score_gpt":0.2772215123073887,"score_spread":0.2616018913915505,"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."}}