{"id":"W7009623402","doi":"","title":"Étude de l’encodage en décharges des signaux variant dans le temps basée sur la théorie de l’information","year":2023,"lang":"fr","type":"dissertation","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Alliance de recherche numérique du Canada","keywords":"Context (archaeology); Pilotage; Order (exchange)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003254867,0.0003566456,0.0003572694,0.0002984298,0.0003257003,0.0007371201,0.0004370669,0.0006888263,0.003751128],"category_scores_gemma":[0.0009779824,0.000297519,0.0003254219,0.0003554054,0.0007562808,0.001049588,0.0004318916,0.0009411814,0.000505805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006803231,"about_ca_system_score_gemma":0.0005389528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397947,"about_ca_topic_score_gemma":0.003592184,"domain_scores_codex":[0.9997739,0.00002429126,0.00001250707,0.00007821052,0.00007521403,0.00003586511],"domain_scores_gemma":[0.9990811,0.0003073356,0.0001618714,0.0001514638,0.0002021408,0.00009603341],"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":[0.0002213039,0.00002930767,0.0009589246,0.000079024,0.00001187729,0.0001436295,0.00009878528,0.0001618686,0.9867665,0.0005164089,0.00003226517,0.01098023],"study_design_scores_gemma":[0.00003392134,0.001196403,0.04486838,0.00003877047,0.00005467392,0.0009651377,0.0002922838,0.002575267,0.941973,0.0007101409,0.007247372,0.00004469882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838621,0.002306371,0.009630232,0.00009802075,0.00006551302,0.00003070249,0.000133405,0.00005077225,0.003822841],"genre_scores_gemma":[0.9761627,0.001662506,0.00965407,0.0000995238,0.00001582666,0.00006202748,0.0002121697,0.00004461073,0.01208662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003751128,"threshold_uncertainty_score":0.0125488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045522302870333,"score_gpt":0.2204677927013471,"score_spread":0.2000125696726437,"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."}}