{"id":"W2056809837","doi":"10.1007/s00440-012-0464-x","title":"The extremal process of branching Brownian motion","year":2012,"lang":"en","type":"article","venue":"Probability Theory and Related Fields","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hausdorff Center for Mathematics; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Mathematics; Point process; Brownian motion; Heaviside step function; Mathematical analysis; Branching process; Exponential function; Brownian excursion; Wiener process; Stochastic process; Statistical physics; Diffusion process; Geometric Brownian motion; Combinatorics; Physics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003085861,0.0007970336,0.001521128,0.002909953,0.001482159,0.003578529,0.001816666,0.002097318,0.00392501],"category_scores_gemma":[0.01189881,0.0006329064,0.000954092,0.001789656,0.0045057,0.005202367,0.002111061,0.002950194,0.0003804069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862918,"about_ca_system_score_gemma":0.001019694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434938,"about_ca_topic_score_gemma":0.0008067084,"domain_scores_codex":[0.9988546,0.0004946787,0.00004828846,0.0001856488,0.0002472354,0.0001694778],"domain_scores_gemma":[0.9954666,0.002460301,0.0005982757,0.0002422454,0.0004452022,0.0007872857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001956612,0.000007624263,0.0002124884,0.00002183304,0.000007860157,0.00004756616,0.00006786417,0.002886983,0.0003522859,0.9945951,0.0003729416,0.00140793],"study_design_scores_gemma":[0.00001006876,0.000007680785,0.0002483426,0.00001135057,0.000006442296,0.00006357985,0.0000226193,0.028265,0.0000914262,0.9706872,0.0005729884,0.00001344205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.477678,0.006897747,0.4583338,0.005998507,0.0005492518,0.0000632114,0.0003431095,0.0003244521,0.04981196],"genre_scores_gemma":[0.9665383,0.002129991,0.02132826,0.0003741843,0.0008637534,0.00006703728,0.0001770254,0.0001038854,0.008417498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00392501,"threshold_uncertainty_score":0.01631981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325261772738862,"score_gpt":0.2935817456048921,"score_spread":0.2703291278775035,"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."}}