{"id":"W2213801215","doi":"10.1017/fmp.2018.2","title":"A CLASS OF GROWTH MODELS RESCALING TO KPZ","year":2018,"lang":"en","type":"preprint","venue":"Forum of Mathematics Pi","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Royal Society; Leverhulme Trust","keywords":"Class (philosophy); Growth model; Mathematics; Statistical physics; Applied mathematics; Physics; Mathematical economics; Computer science","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":[0.0003653163,0.000972366,0.001018591,0.001034053,0.0008734767,0.002456814,0.001101287,0.001679567,0.001860183],"category_scores_gemma":[0.002046304,0.0003273074,0.0009816511,0.000468802,0.001583945,0.00197576,0.00115191,0.00167066,0.000269564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017774,"about_ca_system_score_gemma":0.0005834773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749912,"about_ca_topic_score_gemma":0.001092264,"domain_scores_codex":[0.99975,0.00005497573,0.00001366599,0.00005392294,0.00006474394,0.00006275336],"domain_scores_gemma":[0.9993612,0.0001696286,0.000160567,0.00008427928,0.00007677727,0.0001475548],"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":[0.00007977229,0.0001054654,0.001808411,0.0001340009,0.00005994793,0.0006149335,0.0003515616,0.1003867,0.01334185,0.8758367,0.002311046,0.004969519],"study_design_scores_gemma":[0.00008265445,0.0000584726,0.00114312,0.00002113573,0.00002591501,0.0003605599,0.0001499589,0.6368218,0.00148585,0.3576814,0.002124145,0.00004500016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83408,0.001707549,0.1274377,0.002070536,0.0002259463,0.0001117703,0.0003253054,0.0005696538,0.03347154],"genre_scores_gemma":[0.9879068,0.0005531703,0.007108561,0.0001773779,0.0001290598,0.00006441306,0.0001579916,0.00004966133,0.003852952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002749912,"threshold_uncertainty_score":0.007384539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07926765971314868,"score_gpt":0.3352562632521404,"score_spread":0.2559886035389917,"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."}}