{"id":"W7132985239","doi":"","title":"Convergence Rates of Random Discrete Model Curves Approaching SLE Curves in the Scaling Limit","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Rate of convergence; Scaling; Polynomial; Boundary (topology); Convergence (economics); Limit (mathematics); Scaling limit; Function (biology); Percolation (cognitive psychology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006217206,0.0004794952,0.0008337986,0.00005319675,0.0002005671,0.00008621956,0.0005894679,0.0001007761,0.0002217981],"category_scores_gemma":[0.00006949261,0.0003758824,0.0004542061,0.0004955715,0.0001870043,0.000176679,0.00009103279,0.0007319573,0.0000119774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656061,"about_ca_system_score_gemma":0.0003254409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365328,"about_ca_topic_score_gemma":0.000008686068,"domain_scores_codex":[0.9972306,0.0004959128,0.0007322772,0.0005584261,0.0005916459,0.0003911132],"domain_scores_gemma":[0.9978051,0.0009404734,0.0005232915,0.0003963277,0.0002551888,0.00007962868],"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":[0.0006892429,0.001153491,0.001259134,0.007632749,0.0005541459,0.000005564498,0.0464077,0.2948625,0.002017252,0.6408751,0.0004506161,0.004092515],"study_design_scores_gemma":[0.001972166,0.00007298213,0.0007350909,0.011826,0.0005626656,8.499773e-7,0.04730089,0.7873602,0.007708136,0.1413858,0.0000419811,0.001033293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369208,0.01965171,0.2212049,0.002587741,0.0007217263,0.001896129,0.0001748048,0.00002650173,0.01681565],"genre_scores_gemma":[0.9950682,0.001082241,0.0004279995,0.0002006786,0.000166912,0.0001058033,0.001845633,0.00003980326,0.001062761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994893,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508150520438774,"score_gpt":0.3323564309677002,"score_spread":0.3072749257633124,"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."}}