{"id":"W627618803","doi":"10.71781/10765","title":"Modèle informatique du coapprentissage des ganglions de la base et du cortex : l'apprentissage par renforcement et le développement de représentations","year":2009,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003917847,0.0007852112,0.0006713812,0.0003728851,0.001545597,0.004386697,0.002515872,0.0005385231,0.001334139],"category_scores_gemma":[0.0006873199,0.0009214738,0.00028423,0.0007776331,0.0003130621,0.002623094,0.000929938,0.001055913,0.0003885932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006755671,"about_ca_system_score_gemma":0.003253096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872578,"about_ca_topic_score_gemma":0.003071133,"domain_scores_codex":[0.9941201,0.001434252,0.001533043,0.0009451536,0.0009090386,0.001058415],"domain_scores_gemma":[0.9959528,0.0006267073,0.001248967,0.001217718,0.0004560325,0.0004977061],"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":[0.0001059826,0.0008325541,0.004359292,0.0002388114,0.0003294128,0.0003990434,0.1345037,0.7905861,0.001584102,0.02313558,0.006944339,0.03698114],"study_design_scores_gemma":[0.003812112,0.0006441172,0.1211972,0.002078472,0.0004326666,0.0004107945,0.01447424,0.8066214,0.01417938,0.001604843,0.03264481,0.001899964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08840853,0.00007948453,0.8122406,0.002364243,0.0005648368,0.001888642,0.00004728939,0.00003535092,0.09437103],"genre_scores_gemma":[0.6456378,0.0006214451,0.3386494,0.0006091636,0.00007407252,0.0002803306,0.002724841,0.00007256243,0.01133045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5572292,"threshold_uncertainty_score":0.9997543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05266186236799988,"score_gpt":0.3434632231230554,"score_spread":0.2908013607550555,"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."}}