{"id":"W2897587641","doi":"10.5194/npg-2018-44","title":"Characterising regime behaviour in the stably stratified nocturnal boundary layer on the basis of stationary Markov chains","year":2018,"lang":"en","type":"article","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Oceanic and Atmospheric Administration","keywords":"Markov chain; Statistical physics; Markov model; Boundary (topology); Markov chain mixing time; Hidden Markov model; Balance equation; Boundary layer; Stationary distribution; Markov process; Variable-order Markov model; Markov property; Continuous-time Markov chain; Mathematics; Discrete phase-type distribution; Transition (genetics); Stochastic matrix; Statistics; Physics; Computer science; Mathematical analysis; Mechanics; Artificial intelligence; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001073982,0.0002446131,0.0002989638,0.0006485856,0.0002708471,0.000646021,0.0003841631,0.0002935242,0.0009532111],"category_scores_gemma":[0.003218067,0.0002296337,0.0005671149,0.0003234155,0.0004650151,0.0006439206,0.0004177371,0.0004103072,0.0001329888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006579743,"about_ca_system_score_gemma":0.0007553045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206757,"about_ca_topic_score_gemma":0.009163195,"domain_scores_codex":[0.9997916,0.00007358499,0.00001468507,0.00005207825,0.00003644229,0.00003170355],"domain_scores_gemma":[0.9981267,0.001292308,0.0002511358,0.00009955046,0.0001449936,0.00008524444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002911214,0.0001012625,0.1800363,0.0001498052,0.0002226766,0.000326594,0.0005435122,0.7510599,0.02723208,0.01283005,0.000408437,0.02679829],"study_design_scores_gemma":[0.000004366186,0.0000177546,0.01689515,0.00001499495,0.00001145428,0.00001828055,0.00003624353,0.9778331,0.001116836,0.003934262,0.0001055418,0.00001205274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6680353,0.0001386432,0.3299955,0.00006807817,0.00001337899,0.00005298627,0.0003173719,0.0002075945,0.001171099],"genre_scores_gemma":[0.9843836,0.00004327515,0.01513113,0.000009482548,0.000003728899,0.00002381636,0.0002272118,0.00001598831,0.0001617587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206757,"threshold_uncertainty_score":0.02399462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075945313501626,"score_gpt":0.2481259957749786,"score_spread":0.2273665426399623,"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."}}