{"id":"W1986028716","doi":"10.1063/1.4896057","title":"Communication: A non-empirical correlation factor model for the exchange-correlation energy","year":2014,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Rice University","keywords":"Correlation; Limit (mathematics); Energy (signal processing); Physics; Energy exchange; Statistical physics; Mathematics; Quantum mechanics; Mathematical analysis; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001789443,0.0006086413,0.0007900606,0.0006690026,0.0007560314,0.001351074,0.002452958,0.002441062,0.01485109],"category_scores_gemma":[0.005839282,0.0003257201,0.000714141,0.0007447731,0.001458437,0.003467339,0.0009666581,0.002134762,0.003385187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087755,"about_ca_system_score_gemma":0.0009147073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514926,"about_ca_topic_score_gemma":0.001262477,"domain_scores_codex":[0.9991602,0.0002669063,0.00003081816,0.0001550015,0.0003072398,0.00007994896],"domain_scores_gemma":[0.9978005,0.0008531571,0.0001837828,0.0006505803,0.0003794549,0.0001324927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000953732,0.00005725206,0.00023947,0.0001900476,0.00002822037,0.0001966626,0.00009082921,0.03908504,0.00228922,0.9150059,0.0288448,0.01387713],"study_design_scores_gemma":[0.0000377049,0.0000374329,0.0001847266,0.00005052947,0.00001522121,0.0001917309,0.0000163158,0.6969193,0.001873987,0.2819104,0.01869592,0.00006676656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05560902,0.003895789,0.8730263,0.01400695,0.004132926,0.0001496163,0.001498069,0.001116466,0.04656478],"genre_scores_gemma":[0.7565989,0.003811163,0.1391141,0.00378682,0.002368007,0.0004332424,0.001656783,0.0009089793,0.09132197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01485109,"threshold_uncertainty_score":0.04968184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551781150280791,"score_gpt":0.2341993630138265,"score_spread":0.2186815515110186,"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."}}