{"id":"W3134137042","doi":"10.1016/j.bpj.2021.02.035","title":"Concentration sensing in crowded environments","year":2021,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Computational biology; Computer science; Environmental science; Chemistry; Environmental chemistry; Biology","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":[0.0003720518,0.0003918301,0.0007208133,0.0006325696,0.000938023,0.001465338,0.0007500181,0.001100399,0.0008635066],"category_scores_gemma":[0.00225612,0.0003898377,0.000171205,0.0003893128,0.001148211,0.001785323,0.001606262,0.0007606452,0.0003082505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649675,"about_ca_system_score_gemma":0.0003372345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200961,"about_ca_topic_score_gemma":0.001366741,"domain_scores_codex":[0.999408,0.0001026054,0.00001792063,0.0001883414,0.0001830366,0.0001002223],"domain_scores_gemma":[0.9988513,0.0005644305,0.0001602544,0.00007391544,0.0001878079,0.0001623415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006805325,0.0002136762,0.004560334,0.0003596573,0.0001090822,0.001522495,0.0007242286,0.1836059,0.730751,0.03669031,0.004681387,0.03610151],"study_design_scores_gemma":[0.00006614941,0.0002000933,0.003096979,0.00004034534,0.00002900628,0.0005275005,0.0004625286,0.7941475,0.1679819,0.02837766,0.004927211,0.0001430833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516784,0.00404987,0.1267206,0.002013715,0.0004597442,0.00007404817,0.0002575824,0.0004649969,0.01428105],"genre_scores_gemma":[0.9924386,0.0004914621,0.005223486,0.0001996256,0.00007291908,0.00001990657,0.00006552552,0.00001659252,0.001472008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00200961,"threshold_uncertainty_score":0.006275833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369905492816712,"score_gpt":0.2096526656950576,"score_spread":0.2002827602022409,"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."}}