{"id":"W3155889415","doi":"10.6082/uchicago.2588","title":"Energy Dissipation Controls Emergent Order in Model Driven Liquids and Biochemical Clocks","year":2020,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; University of Chicago; National Science Foundation","keywords":"Dissipation; Energy (signal processing); Order (exchange); Physics; Control theory (sociology); Computer science; Control (management); Thermodynamics; Economics; Artificial intelligence","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":[0.00005779354,0.0001597494,0.0003581207,0.0000181768,0.0001540052,0.000005713536,0.0002434643,0.0002022399,0.00008961547],"category_scores_gemma":[0.00005116557,0.00008076084,0.00008649126,0.0003481293,0.0002084083,0.00006367191,0.000217799,0.0001781009,0.000006306211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001421213,"about_ca_system_score_gemma":0.00001465464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000898568,"about_ca_topic_score_gemma":0.00092539,"domain_scores_codex":[0.9990413,0.00008651903,0.0001551084,0.0003755433,0.00008882034,0.0002526898],"domain_scores_gemma":[0.9995373,0.0001228441,0.00008062082,0.00003960082,0.0000784786,0.0001411369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004425803,0.000208878,0.003345222,0.00001354158,0.00004775338,0.000005512643,0.000530215,0.00004494776,0.9803723,0.001416348,0.001426447,0.01214627],"study_design_scores_gemma":[0.005838829,0.005881546,0.5232921,0.0001957859,0.0003118309,0.000011827,0.003397705,0.3816587,0.01981486,0.009923748,0.04711337,0.002559614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921468,0.0004679937,0.0001311109,0.006002054,0.0000198144,0.0000999345,0.0000384771,0.00004361138,0.001050198],"genre_scores_gemma":[0.9986829,0.0007203671,0.0001469921,0.0002049079,0.0000718068,0.00000100214,0.0000688723,8.739507e-7,0.0001022476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9605574,"threshold_uncertainty_score":0.3293331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729409395964306,"score_gpt":0.1914373772530781,"score_spread":0.174143283293435,"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."}}