{"id":"W2970025947","doi":"10.48550/arxiv.1908.09866","title":"Kinetic Equilibration after Preheating","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Kinetic energy; Environmental science; Thermodynamics; Economics; Physics; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004708836,0.0002119193,0.000183143,0.0001445107,0.00002340622,0.00004784793,0.0002304555,0.0002422187,0.0002045697],"category_scores_gemma":[0.000007910193,0.0002755209,0.0001126308,0.0001647271,0.0000252108,0.0001240862,0.0002764597,0.0004291328,0.000216705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164133,"about_ca_system_score_gemma":0.00002837539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114289,"about_ca_topic_score_gemma":0.00002119131,"domain_scores_codex":[0.9992585,0.00002586732,0.000133189,0.0003440287,0.00004294251,0.0001954876],"domain_scores_gemma":[0.9993446,0.00003087096,0.00004265422,0.0004750755,0.00003970249,0.00006709074],"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":[0.00001321376,0.000009826678,0.00318486,0.0002005709,0.00003238306,0.00002531538,0.00007589656,0.9935905,0.00007282935,0.002454788,0.0001018314,0.0002379541],"study_design_scores_gemma":[0.0001898904,0.00001120355,0.004256244,0.00009782096,0.00004707371,9.7971e-7,0.00002804178,0.9932337,0.00002548109,0.001466776,0.0003526135,0.0002901826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072069,0.00007043192,0.182354,0.000007811379,0.0008046482,0.0002230241,0.00001883947,0.0004097718,0.0089046],"genre_scores_gemma":[0.9975094,0.00009381042,0.0001829126,0.00001976696,0.00007227623,0.000001157142,0.00005514684,0.00003812852,0.002027446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1903024,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855303376138442,"score_gpt":0.1513909372351371,"score_spread":0.1228379034737526,"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."}}