{"id":"W3198749050","doi":"10.5075/epfl-iclab-icnf-269300","title":"Noise and Dynamics in Diffusive Conductors","year":2019,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Université de Sherbrooke","keywords":"Dynamics (music); Noise (video); Electrical conductor; Computer science; Statistical physics; Acoustics; Physics; Electrical engineering; Engineering; Artificial intelligence","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":[0.0004661373,0.0004629618,0.0006244822,0.0009999822,0.0005334907,0.001332417,0.0005808785,0.001001656,0.001862148],"category_scores_gemma":[0.003997616,0.0002966275,0.0002414496,0.0003471133,0.00173116,0.001350447,0.0007963288,0.0007337935,0.0002397678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294654,"about_ca_system_score_gemma":0.0003203612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438838,"about_ca_topic_score_gemma":0.0006297538,"domain_scores_codex":[0.9997995,0.00007538379,0.000009052315,0.00004385104,0.00004676973,0.00002542126],"domain_scores_gemma":[0.9983963,0.0009727302,0.0001534034,0.00006817307,0.0002192266,0.0001900744],"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":[0.0003481652,0.0001240909,0.002204229,0.000181202,0.00004525248,0.0004094384,0.0003838315,0.1718758,0.02120509,0.7934595,0.003607334,0.006156005],"study_design_scores_gemma":[0.00003951333,0.00004826752,0.001053968,0.00002214365,0.000009883412,0.0001120848,0.00005158555,0.8215268,0.001277652,0.1747359,0.001086583,0.00003562743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601825,0.004797539,0.1893528,0.005520269,0.001022754,0.00006036112,0.0003814398,0.0007518574,0.03793052],"genre_scores_gemma":[0.9885533,0.0005729103,0.003551028,0.0001330375,0.0002394578,0.00002415655,0.0001081716,0.00007793221,0.006740054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001862148,"threshold_uncertainty_score":0.00622946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00394998855060459,"score_gpt":0.2338155312884918,"score_spread":0.2298655427378872,"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."}}