{"id":"W4389300564","doi":"10.1038/s41598-023-48726-w","title":"First-passage-time statistics of growing microbial populations carry an imprint of initial conditions","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Pacific Institute for the Mathematical Sciences; National Science Foundation","keywords":"Exponential growth; Growth rate; Population; Population growth; Statistics; Division (mathematics); Population size; Exponential function; Biology; Variable (mathematics); Mathematics; Econometrics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005128258,0.0000743341,0.000120566,0.0001314387,0.0001675047,0.000035035,0.0001029437,0.00006740502,0.00009254114],"category_scores_gemma":[0.0002077673,0.00007730306,0.00006926891,0.0002553618,0.0002563784,0.000009893168,0.0001274381,0.00004615653,0.000007692905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008425754,"about_ca_system_score_gemma":0.0001601164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004581418,"about_ca_topic_score_gemma":0.0001230974,"domain_scores_codex":[0.9988636,0.00003845106,0.000389554,0.0003112539,0.0002245356,0.0001725452],"domain_scores_gemma":[0.9990122,0.00001058439,0.000174524,0.0004841142,0.000234002,0.00008457292],"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":[0.000006099035,0.00007569939,0.001137535,0.00002553668,0.00001361838,0.00003670029,0.00009535089,0.001019738,0.9901409,0.000533147,0.006713899,0.0002017423],"study_design_scores_gemma":[0.0009539264,0.0005456144,0.04610313,0.0001279878,0.0001172402,0.0002536821,0.0007006213,0.02224718,0.8763164,0.02610846,0.02574146,0.000784318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967659,0.000006052675,0.001161857,0.00003690402,0.001277878,0.0001322092,0.0003082917,0.00001609212,0.0002948718],"genre_scores_gemma":[0.9929317,0.000003200372,0.001835041,0.00001100072,0.00004091716,0.000005623976,0.00342341,0.00001156024,0.001737583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138246,"threshold_uncertainty_score":0.3152328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220918575057582,"score_gpt":0.328336069331817,"score_spread":0.3061268835812411,"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."}}