{"id":"W2290020483","doi":"10.71781/19246","title":"Réorganisation neurofonctionnelle permettant le maintien des habiletés d’évocation lexicale lors du vieillissement","year":2013,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Philosophy; Sociology","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":[0.001387054,0.0008296235,0.0005897827,0.0006642381,0.0004723355,0.00168586,0.0005272369,0.000823733,0.009047694],"category_scores_gemma":[0.004543792,0.000362714,0.0005090503,0.0003890169,0.0008338756,0.001983354,0.001115226,0.0008167836,0.001574856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573816,"about_ca_system_score_gemma":0.0009585347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562274,"about_ca_topic_score_gemma":0.006643596,"domain_scores_codex":[0.9993412,0.0001046862,0.00005920459,0.0002297703,0.0001623198,0.0001027423],"domain_scores_gemma":[0.9980133,0.0006393814,0.0003699238,0.0003418307,0.0004653364,0.0001702892],"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":[0.00234649,0.0003892237,0.08907434,0.001702251,0.000383859,0.001471803,0.009782306,0.002156893,0.5251735,0.004998925,0.002479478,0.3600409],"study_design_scores_gemma":[0.0001439379,0.003377191,0.800142,0.0005337818,0.0005451071,0.003027993,0.007011166,0.005141056,0.1335007,0.01418933,0.03219817,0.00018958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498274,0.002982215,0.03234569,0.000465194,0.0002293958,0.000187294,0.0006345387,0.0003698656,0.01295836],"genre_scores_gemma":[0.965104,0.001711329,0.01874961,0.000181781,0.0000481702,0.0003362419,0.0004879054,0.0001513063,0.01322964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009047694,"threshold_uncertainty_score":0.03026754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647746829042797,"score_gpt":0.2865783644914666,"score_spread":0.2401008962010386,"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."}}