{"id":"W2065510250","doi":"10.1063/1.2196879","title":"Non-Gaussian energy landscape of a simple model for strong network-forming liquids: Accurate evaluation of the configurational entropy","year":2006,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Configuration entropy; Statistical physics; Gaussian; Energy landscape; Exponential function; Logarithm; Entropy (arrow of time); Gaussian network model; Physics; Thermodynamics; Materials science; Mathematics; Quantum mechanics; Mathematical analysis","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":[0.0004325175,0.0003320011,0.0005562791,0.0005777389,0.0005195034,0.0007588219,0.0007459337,0.001080235,0.001088693],"category_scores_gemma":[0.001791581,0.0002582097,0.0003917054,0.0005483496,0.0008105221,0.0007626786,0.0003450665,0.0004659405,0.0001026182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106449,"about_ca_system_score_gemma":0.0007007659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00713953,"about_ca_topic_score_gemma":0.005538659,"domain_scores_codex":[0.9998989,0.00003986337,0.000004130111,0.00001268666,0.00002412232,0.00002032425],"domain_scores_gemma":[0.9992773,0.000449504,0.00007568852,0.00006644107,0.00006342978,0.0000678034],"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":[0.00003430226,0.00003423739,0.001410767,0.00002629742,0.00001812482,0.00008302142,0.00003093022,0.9900421,0.00215778,0.005199502,0.0001479256,0.0008149503],"study_design_scores_gemma":[0.000004726458,0.000006319882,0.0001915433,0.000001495257,0.000001359935,0.000004763705,0.000004861605,0.9988938,0.0001316636,0.0007297263,0.0000275503,0.000002221231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969339,0.0001786483,0.02649498,0.0002570561,0.00001165722,0.00002215547,0.0001740309,0.0001331925,0.003389307],"genre_scores_gemma":[0.9940481,0.00005939049,0.005288689,0.00002893357,0.000005798902,0.00003153399,0.000105129,0.00002411039,0.0004081763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00713953,"threshold_uncertainty_score":0.01419598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515786375231233,"score_gpt":0.2616061812661079,"score_spread":0.2364483175137955,"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."}}