{"id":"W4283122907","doi":"10.1093/texcom/tgac024","title":"Brain morphometric similarity and flexibility","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex Communications","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; UK Research and Innovation","keywords":"Similarity (geometry); Modular design; Flexibility (engineering); Neuroscience; Computer science; Cortex (anatomy); Pattern recognition (psychology); Modularity (biology); Property (philosophy); Cerebral cortex; Artificial intelligence; Biology; Evolutionary biology; Mathematics; Image (mathematics); Statistics","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0005261992,0.000125463,0.0001643915,0.0001968507,0.002383764,0.00004883987,0.0009140529,0.00002538525,0.0003519326],"category_scores_gemma":[0.00843354,0.0001404628,0.00006242393,0.001274474,0.0004647462,0.000181737,0.003061341,0.0005270152,0.00002464273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523597,"about_ca_system_score_gemma":0.00006516135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001215408,"about_ca_topic_score_gemma":0.00008460682,"domain_scores_codex":[0.9981166,0.0007017221,0.000209618,0.0004527017,0.0003056683,0.0002137512],"domain_scores_gemma":[0.9897649,0.008350977,0.00009385085,0.001666693,0.00004628153,0.00007726929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002599386,0.003537715,0.1331097,0.00008455569,0.0001282972,0.00002091013,0.003492494,0.0005769156,0.09692957,0.5011413,0.2093533,0.05136533],"study_design_scores_gemma":[0.00118039,0.00041237,0.4032333,0.000005658837,0.00003809547,0.0001537863,0.001081878,0.01317951,0.001819862,0.0416045,0.5366405,0.0006500829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8496158,0.001169513,0.0002165972,0.1267772,0.0003541504,0.0006832418,0.0003209815,0.0003828795,0.02047972],"genre_scores_gemma":[0.9865797,0.00007136954,0.0004956495,0.01178366,0.00001695495,0.000171791,0.00001632654,0.00001433715,0.0008502732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595367,"threshold_uncertainty_score":0.9999188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048667534119236,"score_gpt":0.3188138038131192,"score_spread":0.2139470504011956,"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."}}