{"id":"W2605094449","doi":"10.1007/s00440-018-0829-x","title":"Most trees are short and fat","year":2018,"lang":"en","type":"preprint","venue":"Probability Theory and Related Fields","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Tree (set theory); Mathematics; Combinatorics; Gaussian; Distribution (mathematics); Statistics; Statistical physics; Discrete mathematics; Physics; Mathematical analysis","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":[0.000772136,0.0007211153,0.001323126,0.002063825,0.002411309,0.004972778,0.001159059,0.002006287,0.01534492],"category_scores_gemma":[0.008220587,0.0006065796,0.0006129392,0.003678386,0.002860968,0.008119085,0.001730225,0.002099944,0.004921144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006818466,"about_ca_system_score_gemma":0.0005415073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007703702,"about_ca_topic_score_gemma":0.001080216,"domain_scores_codex":[0.9988344,0.0001948511,0.00006197728,0.0003645057,0.0003630426,0.0001811783],"domain_scores_gemma":[0.9945856,0.00244549,0.0006996234,0.0009623126,0.0008924461,0.0004145632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001055063,0.00002592326,0.001236197,0.0002254815,0.00004540944,0.0001875689,0.0005391352,0.002010754,0.002250424,0.923544,0.01472462,0.05510486],"study_design_scores_gemma":[0.000005433642,0.000006438583,0.0004126487,0.00002523176,0.00001273673,0.000217735,0.0001059583,0.001439914,0.0003811434,0.9774792,0.01990526,0.000008306115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2069798,0.01306844,0.572758,0.01142984,0.001611615,0.0001065776,0.006485929,0.001975744,0.185584],"genre_scores_gemma":[0.862753,0.005739511,0.06743188,0.002462468,0.001698032,0.0001170595,0.003605052,0.001137263,0.05505579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01534492,"threshold_uncertainty_score":0.05133384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471398021666781,"score_gpt":0.2964674209883121,"score_spread":0.2617534407716443,"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."}}