{"id":"W7111167074","doi":"10.17605/osf.io/kc9br","title":"Cognitive training effects are shaped more by individual brain dynamics than age – Evidence from younger and older women","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hungarian Scientific Research Fund","keywords":"Cognition; Cognitive training; Dynamics (music); Training (meteorology); Cognitive decline","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":[0.001375228,0.001260549,0.001107835,0.00105971,0.0006182586,0.001185253,0.002352773,0.001700756,0.04494971],"category_scores_gemma":[0.01022453,0.0004096166,0.002033254,0.001601358,0.0003062218,0.00077608,0.001448938,0.0009883246,0.02110757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006874966,"about_ca_system_score_gemma":0.00113301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06402469,"about_ca_topic_score_gemma":0.1077722,"domain_scores_codex":[0.9994946,0.0001269998,0.00005505915,0.0001582733,0.00008137122,0.00008370335],"domain_scores_gemma":[0.9970658,0.001390018,0.0004350099,0.0003896424,0.0004779178,0.0002415921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001421756,0.0001076943,0.02644966,0.00147453,0.0008740457,0.0001038583,0.0001156689,0.0008038786,0.0002409828,0.0004571578,0.954231,0.01371974],"study_design_scores_gemma":[0.003258192,0.0002266201,0.3228369,0.00190231,0.002245884,0.0005387354,0.0005353332,0.00187974,0.0007486205,0.005601367,0.6600238,0.0002024007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005554857,0.0006450514,0.0002727587,0.0003694076,0.00007477101,0.0000296471,0.9916139,0.0001940823,0.001245509],"genre_scores_gemma":[0.01727417,0.0002918408,0.0007986719,0.0004216144,0.00006205245,0.0003781778,0.9748315,0.0001342335,0.005807762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06402469,"threshold_uncertainty_score":0.1503718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547204227037942,"score_gpt":0.3406483645815886,"score_spread":0.2951763223112092,"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."}}