{"id":"W4404310873","doi":"10.48550/arxiv.2410.19070","title":"The directed landscape seen from its trees","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Tree (set theory); Computer science; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957409,0.0002513019,0.000295651,0.0002684969,0.0002288021,0.0004262655,0.003033069,0.0002197735,0.0001264626],"category_scores_gemma":[0.0001012314,0.0001737184,0.0002880946,0.002049449,0.00007843168,0.0001409291,0.005423709,0.0006000071,0.0007456416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005380267,"about_ca_system_score_gemma":0.00007618733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004402396,"about_ca_topic_score_gemma":0.0002973162,"domain_scores_codex":[0.9981745,0.0001426403,0.0001701073,0.001081261,0.0001205297,0.0003109783],"domain_scores_gemma":[0.9979127,0.0004735862,0.0001244138,0.00125503,0.00009424901,0.0001400082],"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":[0.00007707773,0.0003023589,0.007151486,0.00006994079,0.002794953,0.003614544,0.0004825862,0.0518252,0.00003888446,0.8560269,0.03866091,0.03895514],"study_design_scores_gemma":[0.0002014681,0.00003415301,0.008584819,0.00004265099,0.0002992794,0.000001881751,0.0000622523,0.7273121,0.00005172935,0.2434334,0.01948418,0.0004920695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040255,0.01019305,0.2350934,0.005124775,0.004157035,0.0006375831,0.001049171,0.003568587,0.03615096],"genre_scores_gemma":[0.9881389,0.0007817741,0.0002413413,0.00006531148,0.0001225717,8.244714e-7,0.00006507677,0.000007918738,0.01057626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754869,"threshold_uncertainty_score":0.9583964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380860263613948,"score_gpt":0.1810828611226944,"score_spread":0.1272742584865549,"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."}}