{"id":"W2957772035","doi":"10.15866/ireche.v5i1.6893","title":"Hybrid First-Principle/Neural Network Correlations for Thermoelectric Transport Coefficients in Gold-Silver Solutions from Bulk to Nanometer Scale","year":2013,"lang":"en","type":"article","venue":"International Review of Chemical Engineering (IRECHE)","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Phonon; Thermodynamics; Thermoelectric effect; Condensed matter physics; Physics","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":[0.0001229261,0.0002031918,0.0003809843,0.00007108305,0.00002497595,0.00001433314,0.0004656687,0.00008480217,0.0006235825],"category_scores_gemma":[0.0002501303,0.0001967356,0.0002895511,0.000374385,0.00002241197,0.00007649478,0.00005289161,0.0002328711,0.00004180929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974837,"about_ca_system_score_gemma":0.00002565477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005734579,"about_ca_topic_score_gemma":0.000002657315,"domain_scores_codex":[0.998348,0.000004562875,0.0006841708,0.0003452161,0.0002781059,0.0003399517],"domain_scores_gemma":[0.9989782,0.0003263362,0.0001255404,0.0002631306,0.0001751218,0.0001316571],"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":[0.00001767925,0.0003615787,0.0007484446,0.0007580069,0.0001954824,7.35124e-7,0.0000289907,0.02040037,0.9645208,0.0007281576,0.003602354,0.008637466],"study_design_scores_gemma":[0.001087187,0.00002994787,0.001145036,0.005847643,0.0003047048,0.00001038059,0.000002452441,0.4743009,0.4279069,0.001243424,0.08711459,0.001006867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605617,0.004329045,0.03090671,0.002122227,0.0001223224,0.0006361783,0.000237319,0.0001068435,0.0009776622],"genre_scores_gemma":[0.991781,0.0004433601,0.005617021,0.0002848395,0.0002002472,0.0007141062,0.0006408446,0.00003221651,0.0002863921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5366138,"threshold_uncertainty_score":0.8022646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420506714939035,"score_gpt":0.2395573730209895,"score_spread":0.2301368663060504,"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."}}