{"id":"W1546148805","doi":"","title":"Modélisation d'un canal à 60 GHz en utilisant les réseaux de neurones perceptron multicouches","year":2013,"lang":"fr","type":"dissertation","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708224,0.0006808602,0.0008205085,0.0003749429,0.0005127921,0.00145521,0.001104368,0.001377838,0.003203651],"category_scores_gemma":[0.0008176671,0.0004161887,0.001079899,0.0005031876,0.0006569643,0.001038715,0.0006244271,0.00102996,0.0006871435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400632,"about_ca_system_score_gemma":0.001454945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403549,"about_ca_topic_score_gemma":0.03153348,"domain_scores_codex":[0.9998017,0.00003240529,0.000008237625,0.00006138967,0.00006432092,0.00003191507],"domain_scores_gemma":[0.9997295,0.0001144552,0.00002140859,0.00003276784,0.00008370004,0.00001814125],"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":[0.00005533364,0.00001908468,0.0007915425,0.0000629877,0.00002968006,0.000086619,0.0000696128,0.9704822,0.009078543,0.002645579,0.0003172946,0.01636159],"study_design_scores_gemma":[0.000003110296,0.00002101444,0.0003039385,0.000006027322,0.000008477356,0.0000125836,0.00001398885,0.9962603,0.00187505,0.0006426529,0.0008448507,0.000008085017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1936429,0.001016618,0.7907556,0.0005291531,0.0002112679,0.00008113185,0.0003386224,0.001915937,0.01150874],"genre_scores_gemma":[0.8833213,0.0009567958,0.0896259,0.00009869583,0.00003653519,0.000137183,0.000316455,0.00019027,0.02531687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0403549,"threshold_uncertainty_score":0.08024001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006986767631238103,"score_gpt":0.1840771572001234,"score_spread":0.1770903895688853,"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."}}