{"id":"W4390092087","doi":"10.48550/arxiv.2312.12767","title":"Information thermodynamics of transition paths between multiple mesostates","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Statistical physics; Generality; Work (physics); Trajectory; Metastability; Markov chain; Computer science; Transition (genetics); Mechanism (biology); Asymmetry; Sampling (signal processing); Mathematics; Physics; Chemistry; Thermodynamics; Artificial intelligence; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139567,0.0003119246,0.0006639109,0.0007882899,0.000708864,0.001402247,0.001084532,0.0008581345,0.004241376],"category_scores_gemma":[0.004428237,0.0003330002,0.000614996,0.0003918066,0.002559943,0.003038193,0.001640891,0.001412798,0.0003385628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329529,"about_ca_system_score_gemma":0.0007355837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411197,"about_ca_topic_score_gemma":0.0009446209,"domain_scores_codex":[0.9994954,0.0001438654,0.0000215402,0.0001035592,0.0001338886,0.0001016814],"domain_scores_gemma":[0.9979308,0.001306444,0.0001857232,0.0002574758,0.0001458747,0.0001737955],"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":[0.00003219736,0.00001833197,0.0004285314,0.0000491864,0.00001276433,0.00007901451,0.00009325593,0.05560519,0.002056466,0.9381275,0.0006102733,0.002887327],"study_design_scores_gemma":[0.000007835232,0.00001101034,0.0002924994,0.00001011911,0.000003425977,0.00002574474,0.00002081797,0.235958,0.0004186301,0.7626644,0.0005741198,0.00001349018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4789972,0.002035026,0.4646301,0.003704481,0.0002612435,0.00008088377,0.0006982469,0.0003420346,0.04925086],"genre_scores_gemma":[0.9848419,0.0004140617,0.01117281,0.000170423,0.00007619039,0.00008271469,0.0001185397,0.00006576208,0.003057536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004241376,"threshold_uncertainty_score":0.01418883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08179153913858689,"score_gpt":0.1905266557268736,"score_spread":0.1087351165882867,"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."}}