{"id":"W4318018901","doi":"10.51656/psycause.v12i2.51851","title":"Neurostimulation et entraînement cognitif pour augmenter la mémoire de travail","year":2023,"lang":"fr","type":"article","venue":"Psycause revue scientifique étudiante de l École de psychologie de l Université Laval","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Psychology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003022225,0.0003354915,0.0002731289,0.0002079727,0.0001564956,0.0002274563,0.0001658622,0.0002910438,0.004523003],"category_scores_gemma":[0.0006526234,0.0001166046,0.0002070079,0.000110893,0.0004001517,0.0002196627,0.0002649311,0.0003119576,0.0003527995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001570758,"about_ca_system_score_gemma":0.0005110067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007206581,"about_ca_topic_score_gemma":0.001407807,"domain_scores_codex":[0.9998549,0.00002682678,0.00001219805,0.00003730462,0.00004493034,0.00002382722],"domain_scores_gemma":[0.9998395,0.00007973421,0.00002467849,0.00001273811,0.00001725617,0.00002600336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0031295,0.001208179,0.00254687,0.0007519257,0.00008158407,0.0002156538,0.0007199981,0.0002647628,0.8386983,0.0006944404,0.0004131409,0.1512756],"study_design_scores_gemma":[0.002693371,0.073231,0.2859365,0.0003449436,0.0007586533,0.002875968,0.002198888,0.005216001,0.5987211,0.004542046,0.02337578,0.0001057961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849337,0.001835147,0.009040163,0.0002048333,0.0001086898,0.0002787911,0.00007107916,0.00008076653,0.003446821],"genre_scores_gemma":[0.9799266,0.001874894,0.01075982,0.0001360646,0.00005196236,0.0005573661,0.00009721226,0.00002459226,0.006571334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004523003,"threshold_uncertainty_score":0.015131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222158790359621,"score_gpt":0.2977123621775687,"score_spread":0.2554907742739725,"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."}}