{"id":"W2041576703","doi":"10.1063/1.1897372","title":"Glassy dynamics and domains: Explicit results for the East model","year":2005,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Statistical physics; Closure (psychology); Relaxation (psychology); Kernel (algebra); Measure (data warehouse); Function (biology); Correlation function (quantum field theory); Simple (philosophy); Matrix (chemical analysis); Spin (aerodynamics); Dynamics (music); Distribution function; Distribution (mathematics); Physics; Mathematics; Computer science; Mathematical analysis; Pure mathematics; Quantum mechanics; Chemistry; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006318806,0.00009526206,0.0001574677,0.000006386935,0.0001052036,0.00007261214,0.000357859,0.00003489913,0.000003791821],"category_scores_gemma":[0.00005969217,0.00004527741,0.00005768308,0.0000326646,0.0001175296,0.0001464364,0.00008295586,0.0001100304,0.000002959537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688477,"about_ca_system_score_gemma":0.00002914984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000469312,"about_ca_topic_score_gemma":0.000002284377,"domain_scores_codex":[0.9992547,0.00002608804,0.0003056027,0.00007055105,0.0001871071,0.0001559184],"domain_scores_gemma":[0.9992442,0.000192053,0.0002316051,0.000174981,0.0001117139,0.00004545516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007906533,0.00003366343,6.528198e-7,0.00001732088,0.00001413575,1.696887e-7,0.0007621682,0.006403018,0.9783148,0.009936624,0.0008936892,0.002833088],"study_design_scores_gemma":[0.0007977523,0.00007113836,0.000003377006,0.0000366315,0.00007420421,0.00002578782,0.0001303792,0.6770562,0.286883,0.03418539,0.0006196317,0.0001165115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718187,0.0001682388,0.02347372,0.003887675,0.0001389773,0.0001185143,0.00007686696,0.000007736881,0.0003095951],"genre_scores_gemma":[0.9966838,0.00008487285,0.002195775,0.0002654549,0.0006548869,0.000002790394,0.000001728954,0.00001162268,0.00009906419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6914318,"threshold_uncertainty_score":0.1846359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071171501140797,"score_gpt":0.2380843517948515,"score_spread":0.2173726367834435,"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."}}