{"id":"W2890425879","doi":"10.1016/j.neuroimage.2018.09.019","title":"Corrigendum to ‘Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain’ [NeuroImage 156 (2017) 315–339]","year":2018,"lang":"en","type":"erratum","venue":"NeuroImage","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Normative; Human brain; Psychology; Neuroscience; Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001221625,0.000743593,0.001250499,0.000481913,0.0006570288,0.0001851218,0.00308245,0.0003938251,0.0005187112],"category_scores_gemma":[0.01899794,0.000451607,0.0005104201,0.001152631,0.001127395,0.0002034153,0.001908966,0.003863813,0.0001112737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010684,"about_ca_system_score_gemma":0.0005322202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266937,"about_ca_topic_score_gemma":0.00002814705,"domain_scores_codex":[0.9945187,0.000517608,0.001117366,0.001380696,0.001490423,0.0009751929],"domain_scores_gemma":[0.9928035,0.0008237262,0.0008201794,0.004422852,0.0006044371,0.0005252765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001352207,0.0002105253,0.001250373,0.0003768601,0.0001470521,0.00008248327,0.0002453296,0.000001096325,0.001732156,0.0001585253,0.9948423,0.0008181004],"study_design_scores_gemma":[0.002005822,0.0009517359,0.1763703,0.0005940727,0.0007700169,0.0002841243,0.00006411181,0.01198247,0.00007966608,0.0001072361,0.8062703,0.0005201395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.185681,0.002866791,0.01770749,0.2108334,0.2717135,0.03332179,0.02036654,0.001542876,0.2559666],"genre_scores_gemma":[0.1324497,0.0003807081,0.004148845,0.1480778,0.0281301,0.0004049992,0.009113682,0.001573574,0.6757206],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4197539,"threshold_uncertainty_score":0.9997936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173296702578636,"score_gpt":0.3328010371044822,"score_spread":0.2910680700786958,"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."}}