{"id":"W2034649906","doi":"10.1016/j.spa.2010.05.005","title":"Critical branching random walks with small drift","year":2010,"lang":"en","type":"article","venue":"Stochastic Processes and their Applications","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Random walk; Branching random walk; Statistical physics; Branching (polymer chemistry); Branching process; Combinatorics; Econometrics; Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003668231,0.001806442,0.002239035,0.004753557,0.001892611,0.004163458,0.002290955,0.003828252,0.006202979],"category_scores_gemma":[0.02162865,0.00111442,0.00109685,0.002229774,0.005638967,0.00563305,0.003450027,0.003692028,0.0006372532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933933,"about_ca_system_score_gemma":0.001265048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443874,"about_ca_topic_score_gemma":0.001094556,"domain_scores_codex":[0.9988748,0.000451974,0.00004894894,0.0002130621,0.0002362714,0.0001748942],"domain_scores_gemma":[0.9865426,0.008677679,0.001270464,0.0004798171,0.0009128573,0.002116643],"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":[0.00003671592,0.00002408235,0.0002233053,0.00004331027,0.0000161255,0.0001334276,0.00008657623,0.01041992,0.0007052005,0.985718,0.00100701,0.001586423],"study_design_scores_gemma":[0.0000342251,0.00001474954,0.0001963914,0.00002178168,0.0000151551,0.0001205213,0.00003947683,0.09782498,0.0002779907,0.9004706,0.0009587758,0.00002529883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4067059,0.008772638,0.5295184,0.005978863,0.001129434,0.0001966315,0.0004203559,0.000765968,0.04651185],"genre_scores_gemma":[0.9517345,0.002697997,0.02245989,0.0007416622,0.000950078,0.0002325193,0.0002354552,0.0002670384,0.02068096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006202979,"threshold_uncertainty_score":0.02128726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069803798869076,"score_gpt":0.2837910730258961,"score_spread":0.2630930350372054,"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."}}