{"id":"W4386874911","doi":"10.48550/arxiv.2309.08662","title":"Modeling the Past Hypothesis: A Mechanical Cosmology","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Cosmology; Theoretical physics; Entropy (arrow of time); Salient; Physics; Second law of thermodynamics; Statistical physics; Computation; Statistical mechanics; Classical mechanics; Mathematics; Computer science; Thermodynamics; Astrophysics; Algorithm","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":[0.001099681,0.00046035,0.0007518503,0.0005613003,0.001136257,0.00204957,0.002321954,0.002037211,0.003611079],"category_scores_gemma":[0.002996253,0.0004344695,0.0007299446,0.0004873052,0.004051357,0.005752854,0.001988201,0.002015786,0.0004247888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009978276,"about_ca_system_score_gemma":0.0007385433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345512,"about_ca_topic_score_gemma":0.001836168,"domain_scores_codex":[0.9996479,0.0001662038,0.00001483428,0.00006672737,0.00007442699,0.00002990954],"domain_scores_gemma":[0.9987898,0.0005019467,0.0001492079,0.0003126799,0.00007679992,0.0001695106],"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":[0.00001117675,0.0000148973,0.0004636708,0.00001982203,0.00001161016,0.0000590303,0.00008365457,0.04303367,0.0003733553,0.9542154,0.0005485304,0.001165188],"study_design_scores_gemma":[0.00001294411,0.0000128728,0.0001730713,0.00000862105,0.000004021675,0.00003197097,0.00003663267,0.2207232,0.00007625611,0.7775266,0.001382898,0.00001095248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2096683,0.001548327,0.724547,0.01484571,0.0005466025,0.00007663534,0.0004449805,0.0004183344,0.04790417],"genre_scores_gemma":[0.9185854,0.0006416823,0.07326443,0.0006486017,0.0003931753,0.0001059,0.000105792,0.0001115855,0.006143424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611079,"threshold_uncertainty_score":0.01208031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09188473106501605,"score_gpt":0.2042543852730785,"score_spread":0.1123696542080624,"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."}}